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DIII Management Council approves amendment to guidelines on reinstating student-athletes who commit sports-betting violations
At its meeting this week, the Division III Management Council approved an amendment to the Division III Committee on Student-Athlete Reinstatement sports-betting guidelines. The council’s action would allow for penalty reductions for a student-athlete who commits a sports-betting violation, provided it is the student-athlete’s first violation, the violation does not involve integrity concerns and the student-athlete engages in appropriate clinical evaluation or support.
New Jersey behavioral health company acquires independent medical examination provider
Red Bank, N.J.-based PAX Health acquired Ho-Ho-Kus, N.J.-based Makraf IME, a statewide psychology and neuropsychology independent medical examination (IME) provider group operating across 17 counties. Makraf IME provides independent medical examination opinions on causality, need for treatment, maximum medical improvement, permanency and fitness for duty. The practice also provides psychology and neuropsychology IMEs, disability evaluations, […]
Accused Puna Killer Faces Mental Health Evaluation. Here’s What That Means
Jacob Baker’s case has been suspended while examiners determine whether he is fit to stand trial for the murders of three people on the Big Island that sparked a manhunt. The process has proven to be controversial.
Kings’ Darnell Credits Team for Ending Summer on High Note
Sacramento salvaged their tournament with a balanced offensive clinic, providing coach Chris Darnell vital evaluations of playmaking prospects and rookie shooters ahead of the regular season.
Rabid bat found in Seattle near the University of Washington
A rabid bat was found in Seattle on July 15, 2026, on the sidewalk on University Way Northeast, between NE 41st and NE 42nd streets. This is near Parrington Lawn, on the University of Washington campus, and is a busy area with many businesses. Anyone who might have had physical contact with this bat (even if not bitten) could be at risk and should seek medical evaluation immediately or call Public Health at 206-296-4774 to determine if rabies preventative treatment is necessary.
Hearing rescheduled for Hunter Vanderwall after previous mental health evaluation surfaces
Hunter Vanderwall, 19, is charged in connection of the shooting death of Lawrence Boyd in November 2025.
Grading the progress of all 32 five-star prospects from the 2024 college football recruiting class
A complete evaluation of every five‑star prospect from the Class of 2024 -- who's exceeding expectations, who's meeting them, and who faces a pivotal 2026 season
NBA analysts dive deeper into evaluations of Darius Acuff
Now that Darius Acuff has played some NBA games, experts have more to go on
Machine Learning for Life Scientists: A Practical Methods Guide
Learn practical machine learning methods for life science research, covering supervised learning, model evaluation, and how to choose the right approach.
Sam Altman arson suspect remains in custody as mental health report filed
A mental health evaluation report found Daniel Moreno Gama eligible for mental health diversion.
New criminal justice laws crack down on gangs and where mental health evaluations are conducted
Democratic Gov. Josh Stein signed four Republican-led bills Monday updating mental health laws, increasing penalties for gang-related crime, amending local parking requirements and making technical changes to state agency operations.
What if the Universe Isn’t as Uniform as Scientists Think?
A study based on 47 million galaxies found that the cosmic web retains patterns on enormous scales, which could force a reevaluation of a pillar of cosmology.
Croatia criticised for ‘unambitious’ changes to 2022 science law
Croatia’s science ministry has been accused of a lack of ambition, and even incompetence, over proposed changes to the country’s 2022 science law. Critics say an opportunity has been missed to fix wider shortcomings in the research and universities system.“This law, like all the previous ones, will not significantly change the current state of science in Croatia,” Vlatko Silobrčić, a member of the Croatian Academy of Sciences, told Science Business. “A small shift here and there will not have a significant impact.”The 2022 law introduced multi-year block grant financing of research, based on results, and changes intended to boost employment and career progression for researchers and lecturers. But implementation of the law has been uneven. “It became apparent that certain of its provisions were subject to different interpretations by higher education institutions and scientific institutes,” the science ministry said in its proposal for change. “This caused legal uncertainty in the system, administrative difficulties in implementation and, in certain cases, unequal treatment of teachers, scientists and students.”Most of the proposed amendments deal with technicalities in hiring and promoting staff, such as extending the committee deadlines from 60 to 90 days, or allowing applicants to cite all of their achievements and not only those since their last appointment.Both the ministry and Croatian media highlighted changes that would raise the retirement age from 65 to 67 years and allow part-time students 15 year rather than 10 years to finish their studies.The change to retirement age has been criticised for reinforcing a weakness in the system. According to Matko Marušić, professor emeritus at the University of Split, this will “allow unproductive teachers to advance and work longer, while hindering and discouraging productive ones.”A longtime campaigner for excellence-based meritocracy, he sees little hope in the new legislation. “I am not optimistic that things will improve,” he told Science Business. “As recent changes to the law in Croatia show, the legal framework is becoming increasingly hypocritical and harmful.”For Marušić, who analyses Croatia's university system in a recently published book, the situation is “unfavourable and constantly deteriorating” due to the criteria used for academic advancement.“The key criterion for advancement should be scientific productivity,” he said. “In Croatia [. . .] scientific criteria are increasingly lowered, and ineffective and absurd criteria such as waiting times for promotion and age limits for remaining in a job are promoted.” He would also like to see better criteria for the quality of teaching at universities. “In practice, teaching is not monitored or evaluated,” he said, estimating that up to a third of teaching simply does not take place. “Under the guise of university autonomy and bad laws, universities and faculties are allowed to earn additional money by increasing enrolment quotas that have nothing to do with the needs of the labour market.” Lack of ambitionDora Kršul, a reporter at Telegram.hr who covers science policy in Croatia, finds the rationale for changes “bizarre.” “The ministry responsible for supervising the uniform application of the law is changing the law because it is being implemented unevenly,” she said. “This primarily speaks to the power relationship in the sphere of science and higher education in Croatia, that is, the question arises as to who actually manages this system.”Rather than raising quality, she continued, the changes appear to be designed to help vocational and applied universities who have not been complying with the law.The Independent Union of Research and Higher Education Employees of Croatia said that the changes were “unambitious” and represent a missed opportunity for more important changes. “We think some of the changes are even negative,” it said in its statement on June 25. One of these is introduction of an “assistant” job title that allows people to be hired only for the duration of a project. Related articles: Elections to top science bodies test Croatia’s gender equality in researchSlovakia revises R&D approach to increase focus on competitivenessLatvia pilots citizen engagement in research grant evaluationsThe union’s president, Tvrtko Smital, who was part of the 15-member working group tasked with drafting the changes, told the local media there was a “worrying lack of ambition” in the process, and “lack of competence” in terms of research experience and understanding the problems in the system.“There is no clear will to deal with the problems,” said Smital, an assistant professor of marine and environmental sciences at the Ruđer Bošković Institute in Zagreb. “It’s a combination of unambitiousness and incompetence,” he went on, expressing his “deep frustration” with the situation. “There is no strategy, no clear thinking, and money is not being spent optimally.”Croatia’s science ministry has not responded to requests for comment.
NC lawmakers send bills targeting gangs, mental health evaluations to Stein
The House of Representatives on Wednesday passed two bills targeting criminal suspects: one would change where they are evaluated for mental illness while the other would give prosecutors stronger tools to crack down on gang activity.
What 124 Future Business Leaders Really Think About AI and Work
Insights from 124 career assessments written by UMD-Smith graduate students show 98% expect artificial intelligence to transform, not eliminate, their careers. The analysis also found AI raises performance expectations while increasing demand for strategic thinking, AI literacy, ethical judgment and critical evaluation of AI-generated work.
What’s being built, bought and planned in Ascension Parish
Here are the latest property transactions, issued permits and upcoming business-related events in Ascension Parish. Property transactions Local organization American Soldiers Evaluation Services purchased a 4,000-square-foot office building on East Josephine Street from Nolan and Sharon Aikens for $400,000. American Soldiers Evaluation Services’ CEO, Dr. Sandrine Nkouga, represented the buyer in the transaction. ASES provides […]
Benchmark Scores Don’t Break. Clinical Reality Does. The Health AI Readiness Illusion.
Nature Medicine's frontier AI evaluation exposes a dangerous gap: models acing medical benchmarks collapse under adversarial pressure, and the FDA has no…
Efzimfotase alfa demonstrated improvements in bone health in treatment-naïve pediatric patients with hypophosphatasia achieving median difference of 1.67 vs placebo in RGI-C Score at week 25 in MULBERRY Phase III trial
Positive results from the MULBERRY Phase III trial showed that efzimfotase alfa (ALXN1850), an investigational enzyme replacement therapy, demonstrated a statistically significant and clinically meaningful improvement in bone health in children (2 to
Evaluating the robustness and readiness of large frontier models in health AI applications
Nature Medicine - Adversarial evaluation of leading AI models uncovers gaps between benchmark success and robustness, highlighting limitations in current health AI benchmarks and their ability to...
Making Our Own Luck
We are cross-posting a piece that former NIH official Kris Willis wrote for Macroscience. Kris is now the President and Founder of the Woodley Park Institute, for which I’m a board member. Picking winners or hedging bets? Federal science agencies have long wrestled with the question of how to ensure their billions of dollars of grants and contracts result in maximum benefits for Americans. On the surface, it might seem that a goal-oriented, interventionist style of management would be the best policy: prioritize our most pressing problems and distribute funding accordingly.This top-down strategy creates a unique hazard, though: bad choices can send resources in the wrong direction, resulting in slow progress that impedes the delivery of tangible benefits to citizens. Moreover, if decision makers pursue an applied advance when the underlying scientific principles remain poorly understood, they risk costly failures and a loss of support for the research enterprise at large. Examples include Nixon’s 1971 War on Cancer, undertaken on the premise that a cure could be achieved in less than a decade, the drive to build an operational commercial fusion plant by the mid-1990s, and the National Plan to Address Alzheimer’s Disease, which failed to produce the effective treatments and prevention strategies promised by 2025. The contrasting laissez-faire approach is to hedge your bets. If the path to an advance is impossible to predict, then the wisest choice might be to distribute funding to as widely as possible. The main risk of this strategy is that spreading funding thinly may limit the resources available to the most promising research, resulting in the same negative outcomes as the interventionist approach: limited support for the most promising topics, slow progress, and delayed returns. In reality, at science agencies like the National Science Foundation and National Institutes of Health, program managers navigate between these two extremes, setting some funds aside to target high-priority areas and using the rest to cover the widest possible range of meritorious proposals. This middle path seems like the most rational way to proceed, but it still requires making choices. How much should be set aside for high priority topics? What should those topics be? How should we define merit? Expert opinion can provide a helpful guide, but leading experts can have remarkably different opinions about what matters and what should be prioritized. Moreover, experts and administrators alike can be risk averse, giving an edge to high-profile, well-established concepts. What’s really needed is a data-driven framework to help guide decision-making, one that doesn’t simply repackage prestige or incumbency. Recognizing breakthroughs years in advance Many breakthroughs fail to attract funding or recognition at the earliest stages of development. Katalin Karikó, for example, spent years struggling to win grants for work on mRNA that would eventually win her and Drew Weissman a Nobel Prize. Similar stories can be told about Jim Allison’s groundbreaking studies leading to the development of cancer immunotherapy, Stan Pruisner’s demonstration that prions can self-replicate without DNA, or Robin Warren and Barry Marshall’s proof that Helicobacter pylori, not stress, causes ulcers. Yet at some point, the scientific community recognizes and responds to transformative breakthroughs like these. How does that change happen? And what if science funders could identify the areas that are on the cusp of a breakthrough? Those questions led my collaborators and me to study how scientists responded to past breakthroughs. Based on patterns in that data, we developed a means of predicting future breakthroughs, using biomedicine as a proof of concept. It’s worth taking a moment to describe how our approach works. Briefly, our prediction process begins by grouping the 18 million or so peer-reviewed papers in PubMed, the authoritative database of biomedical research, into roughly 50,000 unique topics. A small subset of these topics are so widely acclaimed as breakthroughs that they have been recognized with a major prize like a Nobel or a Lasker Award. We theorized that studying the development of these outliers over time, especially before they gained acclaim, was the key to identifying future instances of them. After defining topics, we chose 21 representative breakthroughs and asked what they looked like before they won prestigious prizes. To answer that question, we re-ran our topic-mapping algorithm repeatedly, winding back the clock one year each time, stringing together the years to follow the progress of each field as it grew and advanced. We found that in each case, the years leading up to a discovery followed a pattern: a burst of papers on a new, rapidly evolving topic, many of which quickly became influential. These characteristics—the percent of papers that are new, the percentage of papers that are brought in from other topics, and the influence of each individual paper—can all be measured separately for any given topic. Together, they act as a predictive signal that is detectable an average of five years before a transformative discovery is made, and up to thirty years before the discovery receives a major prize. Scanning the current research landscape for topics that display this signal allows us to predict what work will likely produce a future breakthrough. Each year we analyzed includes four or five signals, a number that appears to have remained constant across a twenty year time frame. In their classic work on the sociology of science, Bruno Latour and Steve Woolgar established that the desire to participate in a major discovery is an important motivator for scientists as they consider whether they should take up (or abandon) a research problem. Although further work is needed, the simplest explanation for our results is that this behavior is widespread enough to detect at scale. A foundational advance, or something like it, draws the attention of scientists and causes them to change the direction of their research. They vote with their feet, staking their own reputation and careers by publishing on and citing the new idea. That upswell of interest is the foundation of our breakthrough signal. What kind of research does our model identify as a breakthrough? After building a model based on the patterns in our 21 preselected breakthroughs, we tested it by identifying all early signals of discovery from 1994 through 1997. Of the 18 signals we found in that time period, 17 can be traced forward in time to a breakthrough. Examples include super-resolution fluorescence microscopy (see the image above), the directed evolution of proteins and enzymes (Chemistry Nobel, 2018), and sequencing the human genome (National Medal of Science, 2008). The discovery of the role of leptin signaling in obesity is a particularly interesting case study. Around 1950, scientists noticed the existence of a type of lab mouse that suffered from a unique inherited form of obesity. When given the freedom to choose their own diet, these mice ate more than normal and preferred food that was high in fat. Researchers had few clues as to why the animals overate; early experiments pointed to the existence of a soluble ob factor found circulating in the bloodstream that regulated appetite, but its identity was unknown. In 1994, Jeffrey Friedman and colleagues identified and sequenced the ob gene, noting that the protein it encoded appeared to fit the profile of a circulating factor. A year later, a trio of high-profile publications demonstrated that ob was a hormone that regulated body weight and fat deposition by regulating appetite. One of these was co-authored by Friedman, who christened it leptin from the ancient Greek word for thin. Using our model, the data from 1996 make it clear this advance would become a breakthrough. Scientists had flocked to study the biology of the new hormone, generating the flurry of new papers and citations required to produce a signal. One of these demonstrated that serum leptin concentrations reflected the amount of adipose tissue in the human body, providing clinical validation of the earlier mouse studies. Before the identification of leptin, scientists were unable to point to a specific molecule that controlled appetite and adiposity, so that it was impossible to rule out non-physiological causes of obesity; its characterization fundamentally changed our concept of weight gain. In 2010, Friedman and fellow pioneer Douglas Coleman were awarded a Lasker for the discovery. Our work also identifies breakthroughs in clinical practice and behavioral and social sciences, even though these areas are less likely to draw the attention of major prize committees. One example that falls into this category is the introduction of endovascular aneurysm repair, a minimally invasive surgical procedure for the treatment of abdominal aortic aneurysm, a leading cause of death among Americans over the age of 65. Relative to the previous standard of care, it reduces in-hospital mortality by almost four-fold. In 2017, Timothy Chuter received the American College of Surgeons’ prestigious Jacobsen Innovation award for his multiple refinements to the technique. Another under-recognized breakthrough identified by our model is the development of standardized survey instruments to assess the quality of life for HIV+ patients. The antiretroviral cocktails introduced in the mid-1990s reduced AIDS mortality, but treatment came with serious side effects. The new evaluations showed that patients whose disease progressed had worse physical functioning than Americans with other chronic diseases, while those who were asymptomatic maintained a health-related quality of life on par with the overall US population. This evidence made it possible for patients and activists to argue that even in the absence of a total cure, and in spite of the side effects, alleviation of symptoms was a worthwhile priority for clinicians. My colleagues and I have failed to identify any significant recognition for the physicians and health policy experts who pioneered this advance, although in 2016, researchers called for the World Health Organization to set targets for good health-related quality of life as part of its framework to end the AIDS pandemic. From forecasting to funding How should science funders use our predictions? Any serious discussion of what we should do with this new capability needs to begin with an understanding of its limitations. We can’t (and shouldn’t) invest all of our resources in the small number of topics predicted to produce breakthroughs. Innovative new fields are born from existing ones; they rarely arise de novo. If funders don’t maintain a diverse portfolio, the breakthroughs of tomorrow will have no antecedents. Think of this as eating the seed corn, or killing the goose that lays the golden egg. There are also multiple goals of funding beyond basic scientific discovery, including translating discoveries into clinical practice, developing new technologies, supporting economic development, and training new scientists. The investments needed to accomplish these goals are likely different from those required to support emerging breakthroughs. Finally, we must be aware that we may not capture every instance of a breakthrough. The concept is fuzzy, and not every significant discovery is recognized with a major award. Further, breakthroughs are rare, meaning that our dataset is, by necessity, small. This makes formal estimates of accuracy challenging. Although our overall success rate appears to be high, any one signal may turn out to be a false positive. We found one apparent example: the development of the third generation COX-2 inhibitors, Vioxx and Celebrex, which were much celebrated in the early 2000s as effective but non-addictive pain relievers, meets all the algorithmic criteria of a breakthrough. Five years after it received FDA approval, researchers demonstrated that Vioxx was associated with serious cardiovascular complications, and the manufacturer voluntarily pulled the drug from the market. Celebrex remains available, although like other NSAIDs, it carries an FDA warning for increased cardiovascular risk. Decision makers who were overly focused on the breakthrough potential of this research might have wasted substantial resources nurturing an area that ultimately proved to be a failure—but so would those who relied on expert opinion at the time. That said, the potential benefits of funding the next mRNA vaccine or cancer immunotherapy years earlier than we might have are large. When we can’t assume the outcome of an action, it’s worth conducting an experiment. Can targeted support for areas that are poised to produce a breakthrough increase the return on scientific investment without cannibalizing future advances? With the necessary administrative infrastructure in place, conducting this experiment would be straightforward. First, identify all the breakthrough signals between 2018 and 2023, select half at random, and commit to a decade of investment. For biomedicine, a six year window should yield about 30 topics with the potential to produce a breakthrough. Providing strong support to half of these might be accomplished for $300 million a year. That’s roughly half of the recent annual budget of the NIH Common Fund or around 20% of the fiscal year 2025 budget for ARPA-H. After five years, then again at ten, compare to see which group — the one that was actively managed, or the control — produced more breakthroughs, and on what timescale. Although we used biomedicine as an example, the same experiment could just as well be run for physics, materials science, or any other discipline. Any attempt to undertake such an experiment should keep three points top of mind. First, we can predict the topic of future breakthroughs, but the people and vision for how to move the work forward are still important. In practice, this means success requires active program managers with the expertise to develop the science and the authority to do so, including by recruiting investigators. Second, we would be wise to learn from the failures of past attempts to fund transformative research. High among these are funding modestly repackaged work, confusing the genuinely novel with the merely unfamiliar, and relying too much on incumbent investigators. All of these risks can be mitigated by thoroughly and intelligently integrating high quality data into portfolio management. Finally, we need to have patience. Even with strong funding support, producing a breakthrough takes time. If supporting breakthroughs is the best way to nurture the birth of new fields, we also need to accurately describe and properly manage the other two stages, so that we invest wisely throughout the productive lifetime of ideas and divest once they reach the point of diminishing returns. We would benefit from more study of all of these phases, especially the transition from one to another. More research could answer questions like: When does a breakthrough become an established field? How do the availability of funding, the size and characteristics of the available workforce, and the accumulation of evidence that disagrees with prevailing models affect a field’s decline? Exactly how do old ideas give birth to new ones, and can we speed up the process? The more we understand about the dynamics of scientific progress, the better we can maximize the odds that our curiosity leads to results. I’d call that finding a way to make our own luck.
Milwaukee County judge weighs in on rising mental health felony cases
Investigative reporting found that mental competency evaluations in felony cases have roughly doubled since 2013, straining resources for the state criminal justice system.
QED Science Launches AI Infrastructure for Scientific Validation
Recognizes The 1% After Blind Evaluation of 57,455 Scientific PreprintsTEL AVIV, Israel, June 24, 2026 (GLOBE NEWSWIRE) -- QED Science, a science validity engine and modern infrastructure for researchers, funders, institutions and life science organizations today launched The 1%, the top 574 life science preprints. The company anonymously scored 57,455 bioRxiv preprints submitted between May 2025 and April 2026 for originality and validity. The ranking is powered by QED Score, QED Science’s vali
NC Senate eyes involuntary commitment bill targeting mental health, crime
A Senate committee is expected to review a House-approved proposal to shift some mental evaluations out of emergency departments and expand the number of people who can conduct them.
Latvia pilots citizen engagement in research grant evaluations
Latvia has introduced an element of citizen engagement to the evaluation of nationally funded research grants. The aim is to both create more connections between science and society, and to improve the quality of its evaluations. The move comes as research funders across Europe are experimenting with ways to improve evaluation processes in the face of a sharpened focus on science’s impact on society. Evaluators of grant applications submitted to Latvia’s Fundamental and Applied Research Programme (FLPP), the country’s main research funder, will this year have the option of consulting citizen feedback on challenges the public thinks science should focus on to inform their decisions. “In recent years, both public discussions and policy-level debates in Latvia have highlighted the importance of demonstrating how publicly funded research contributes to society, the economy and the resolution of real-world challenges,” said a source at the Latvian Council of Science (LCS), which manages the FLPP. “At the same time, research institutions themselves expressed interest in improving the project evaluation framework while continuing to ensure that funding is awarded to the highest-quality projects,” the source added. The citizen input comes from a survey that was conducted between 25 February and 16 March 2025, to which 1,737 people responded. It gathered information on what the public views as problem areas for Latvia, and the role of science and technology in providing solutions to these problems. A summary of these responses has been included as an annex to the FLPP 2026 call for proposals that evaluators can refer to, purely in an advisory manner, when judging proposals. Results from the survey show that the main problem areas identified by the public were in healthcare and public health, followed by the development of new treatment methods and medicines, and then digital technology, data security and cyber security. At the bottom of the list was research aimed at acquiring new knowledge about the universe, matter and the laws of nature. Further analysis looked at the public view of the possible role of science in solving these problems. The survey charted 4,167 individual responses based on open-ended questions that were derived from the participants’ answers. The analysis again found that medical and health sciences topped the scoring, with 788 responses referring to the field. Humanities and the arts were bottom of the list, with 625. Digging further into the details, the survey suggests citizens are aware of and concerned about a number of research areas. This includes technologies and innovation to improve the environment or reduce pollution, the development of modern military technologies and cybersecurity tools, and the development and application of artificial intelligence, among others. “We hope this initiative will help strengthen public trust in science and create a more meaningful dialogue between researchers and society,” the LCS source said, adding that it offers benefits to researchers, evaluators and to the general public. More space for citizen engagement in evaluationsThere is a gradual but increasing use of citizen engagement in research evaluation processes around Europe, especially in healthcare, but it remains relatively rare, said Henry Sauermann, a professor at the European School of Management and Technology in Berlin and an expert in citizen science.“Given that we are at a point where citizen involvement is extremely limited, there is presumably space for more, but it's not that we should do it just because we want to do it,” he told Science|Business. He said some research lends itself better to having citizen input, and this usually tends to be on the applied end of the science spectrum where the public can offer useful feedback based on their experiences. He added that advising scientists on certain topics to study is also a useful approach, in the way that Latvia is doing. “The public does fund a lot of science, there's a lot of tax money going into this. We of course do want to preserve academic freedom, but it's also not unreasonable to incorporate more feedback or input from citizens where possible,” he said. Related articlesCitizen science: where, when, and how to let the public contribute to researchHow can Europe cope with a flood of AI-assisted research grant proposals?Data Corner: Horizon Europe’s AI, digital and data call success rate is 5.2%There are several ways of involving citizens in science funding. The most minimal way is having a few representatives on a panel, such as members of a patient group or union. The most direct way is crowdsourcing funding for specific projects. There is an increasing number of online platforms that allow the public to chip in to support scientific proposals.Sauermann studied this in a recent paper and found that it can have its uses, but it still is not clear if there are benefits to it. There are various assumptions linked to citizen engagement, for example that it increases public trust in science, or that it provides a representative view of what the public thinks about science. These are not necessarily true, Sauermann found. People who participate in engagement activities tend to already be very trusting of science, and, on the whole, it is generally the well-off and well educated who contribute, giving a narrow view of public opinion. On whether citizen input can help manage the increasing number of proposals that are being submitted due to assistance from AI, Sauermann is more sceptical. “The obvious answer to the flood of AI-written proposals is AI-driven evaluation,” he said, adding that it doesn’t mean citizen engagement shouldn’t be a part of evaluations in a well thought-out manner. Southern Denmark’s successful approachOne successful example of citizen engagement in science evaluations was implemented in southern Denmark. Between 2019 and 2025, citizens in the region were invited to vote to fund one of five pre-selected projects in the field of healthcare. The project, called A Healthier Southern Denmark, was a collaboration between regional authorities, the University of Southern Denmark, and two media partners. Over the seven years, there were 75,000 votes and significant public engagement online and on social media. “It was a bit of a wild project, we’d never done something like that before and we were a bit nervous about what would be said in the media about it. But actually, people were very positive,” said Anne Kathrine Overgaard, one of the main organisers of the project from the University of Southern Denmark. The university and its researchers have learned a lot from the experience, particularly about engaging with society and shaping their research to match real-world needs. This is important with Europe’s increasing focus on competitiveness and bringing innovations to market faster, Overgaard said. She hopes to see more citizen engagement in evaluation processes and in science more broadly. “For many years, citizen engagement has been a bit of an add-on to proposals, just to check a box. But I think things are changing,” she said. It’s less about citizens just gathering data and more “about the dialogue between the public and the scientists,” she said. The initiative ended last year as the team wanted to regroup to find fresh momentum. The development of AI and AI-written proposals has made Overgaard reflect on how the project could be reworked to help evaluators. She hopes to bring it back in the future. “It could be a good idea to try this initiative again in a slightly re-worked format,” she said.
Politics in the logistics mix: How tariffs and polarization alter corporate supply chains
How do political ideology and perceived ideological alignment influence supply chain professionals' evaluation of operational decisions involving politically charged macroeconomic issues such as tariffs?
June 16, 2026: LungSMART Team Uses Bilingual Formative Evaluation to Hone Study's Digital Health Content
The LungSMART research team conducted a bilingual messaging study and usability assessment to evaluate and adapt the study’s digital health content for patients in community health centers in Utah. The […]
Is SMIC N+3’s Metal Pitch Smaller than Intel 18A’s?
Almost four years ago, we published that SMIC had started shipping 7 nm (N+1) chips. Now, SMIC is shipping its third-generation 7 nm (N+3) process in Huawei’s Kirin 9030, with a minimum metal pitch of 32.5 nm, about 10% tighter than the 36 nm minimum metal pitch shipping in Intel’s latest Panther Lake CPUs on 18A. The headline is true, but incomplete cherry picked metric. N+3 reaches the density of TSMC N6 through aggressive DUV multi-patterning and design-technology co-optimization (DTCO), but it pays for that in complexity, efficiency and process control. We found this and more in our reverse engineering and teardown where we cover SMIC’s N3 process technology, Huawei’s packaging, memory, architecture, and more. SemiAnalysis has been building a state-of-the-art teardown lab in Oregon capable of analyzing the world’s most advanced and important chips over the last year and half. We have already generated revenue on advanced datacenter chip teardowns including our recent reverse engineering of a major TSMC customer’s COUPE CPO optical engine + EIC 3D stack. This is the first public report from the SemiAnalysis Teardown Engineering & Evaluation Lab, or STEEL for short. The lab is aggressively scaling up and out and we’re excited to announce it publicly. This is a bit of inconvenient timing for TechInsights as they are private equity owned and currently being sold while having enjoyed virtually no credible competition for decades. This has led to TechInsights underinvesting in CAPEX. SemiAnalysis exceeds TechInsights in revenue despite no venture or private equity ownership and being founded only 6 years ago. Because we have no external investors and are founder led, we move faster, build faster, and we can release client chip teardowns for free regularly, while focusing on datacenter for our major clients. Here’s the first public image from our lab, the HiSilicon Kirin 9030 Pro SoC: This report will detail our teardown of the Kirin 9030 and our findings on SMIC’s N+3 process, the most advanced in China. For comparison, we’ll show our teardown of the MediaTek Helio G99, made on TSMC N6. Through this comparison, we can look at the effect of export controls – SMIC N+3 and TSMC N6 are comparable nodes, but one is heavily export-controlled, the other free to use the West’s most advanced equipment. Here we see both China’s progress and constraints. SMIC N+3 reaches TSMC N6-class logic density, but it requires far more aggressive DUV multi-patterning, so it does not match N6 on process maturity or cost. The Kirin 9030 Pro performs similarly to three-year-old Android flagships, and trails far behind the current flagship SoCs from Apple, Qualcomm, MediaTek, and Samsung. The efficiency gap is even wider. Export controls have not stopped Huawei and SMIC from shipping advanced silicon, but they have forced a different path. Without EUV, SMIC is leaning harder on DUV multi-patterning, DTCO, and increasingly complex integration. The roadmap continues forward through tighter design rules and backside power, but each step adds cost and process risk. Huawei’s τ scaling and LogicFolding show another path: stacking active logic and recovering density through advanced packaging and system-technology co-optimization (STCO). To understand the Kirin 9030, we must first understand Huawei’s SoC history. HiSilicon is Huawei’s chip design arm, responsible for the Kirin smartphone SoCs, Kunpeng server CPUs, Ascend AI accelerators, and switch/router networking silicon. Before export controls, Huawei was TSMC’s largest customer – the only customer on TSMC’s first EUV node, N7+, and among the first on N5, alongside Apple. That ended in late 2020. Huawei switched to Qualcomm SoCs in its flagship smartphones, though export controls limited them to 4G-only variants. In late 2023, Huawei returned to in-house silicon with the Kirin 9000s, a successor to the Kirin 9000, fabricated on SMIC N+2 instead of TSMC N5. In the following years, they released the Kirin 9010 and 9020 on the same N+2 process. These chips used Huawei’s in-house TaiShan CPU cores and Maleoon GPU. We have not torn down a Kirin 9020 ourselves, so the predecessor die shot is from Kurnal. The die shots show how Huawei spent its silicon budget: which functional blocks are where, and how their areas compare to the predecessor. First, a quick guide to the major blocks on the die. The total die area is nearly identical, but the 9030 uses that area more aggressively. A denser process lets Huawei fit an extra middle CPU core, more GPU and NPU cores, and larger caches into the same footprint. In contrast, the Helio G99 is a much smaller, low-cost SoC, built for budget smartphones rather than a flagship device. While the Kirin 9030 is ~140 mm², the G99 is only ~29 mm², roughly one-fifth the area. The underlying TSMC process technology, however, is directly comparable as a baseline for analyzing SMIC’s. The Kirin 9030 is an evolutionary refresh, not a clean-sheet design. Its CPU, GPU and NPU cores carry over the 9020’s families, and the gains come from three levers: the SMIC N+2-to-N+3 process step, DTCO and floorplan work, and incremental microarchitecture. Area is where the first two show up, and the 9030 scales well here. Performance and efficiency are the harder test. Huawei’s design holds up better than its node would suggest, but the chip still trails, both because N+3 sits behind the leading-edge nodes and because its cores, while competent, remain a few generations behind the newest designs. The new prime core is an incremental update. The main changes are a 10% frequency increase from 2.5 GHz to 2.75 GHz and a doubling in the L2 cache from 1 MiB to 2 MiB. Despite the increased cache, the core size decreased by 7.6%. Excluding the private L2 cache, the core size decreased by 21%. This is a large reduction for an incremental node. Compared with the TaiShan New V120 core in the Kirin 9020, the Kirin 9030’s middle core is almost unchanged architecturally, yet each core shrinks by ~22%. Most of that comes from the move from N+2 to N+3, with layout likely accounting for the rest. Visually, the most noticeable change is the increase from 3 middle cores to 4. There is also a 20% increase in the shared L3 cache of the big cluster. This helps to improve multi-core performance without sacrificing much in terms of area. Even with each core shrinking, the big CPU cluster’s total area is essentially unchanged. The per-core savings went back into an additional middle core and larger caches. The tiny cores shrank less than the prime core (excluding its L2 cache) and less than the middle cores. This is likely because fixed overhead is a larger share on a small core. We cannot resolve any architectural changes from the die shot alone, but the per-clock and efficiency gains shown below point to more than pure process and layout scaling. The area reduction was offset by a doubling of the shared L2 cache from 2 MiB to 4 MiB, leaving the total tiny CPU cluster area slightly larger. Area is the easiest improvement to see from a die shot, but it is only one part of PPA (power, performance, area). For modern logic, power and performance matter just as much, and often more. Since Dennard scaling broke down in the mid-2000s, voltage and frequency have not scaled in step with transistor dimensions, so each node has had to fight harder for gains in performance and efficiency. The starkest comparison is not Kirin 9020 versus Kirin 9030 Pro. Apple’s efficiency cores run circles around Huawei’s prime core. Apple’s low-power core delivers 20% higher integer performance while drawing only 1 W, compared with 4.5 W for Huawei’s prime core. N+3 matches TSMC N6, but N6 is several generations old. Apple and Qualcomm build on N4 and N3P, which are denser and sit on a better voltage-frequency curve, giving them a larger transistor budget and more performance per watt. The 9030’s own cores did improve. The middle and tiny cores gained 17% and 14% in per-clock integer performance over the 9020, with floating-point flat on the middle core and up 11% on the tiny. The tiny core improves cleanly, with performance rising while power falls and efficiency increases by 45% in integer and 24% in floating point. The middle core is mixed: integer performance rises but power rises faster, cutting integer efficiency by 7%, while lower power lifts floating-point efficiency 16%. Per-clock gains at the same or lower frequency are microarchitectural, so the cores are tuned, not just shrunk. Both also failed to hold their rated maximum frequencies, pointing to thermal, power, or stability limits. Per clock, the middle core sits around Arm Cortex-A720 and the tiny core near the Cortex-A520; absolute performance trails because Huawei clocks them much lower. The prime core is roughly Cortex-X2 class per clock, a 2021 design. Apple’s 2020 M1 Firestorm core is still 35% higher per clock and 57% faster in absolute integer performance at a similar 4.5 W. The current leading edge is further ahead again: the Apple M5 P-core is 60% higher per clock and 2.7× faster, the Arm C1 Ultra 45% higher and 2× faster. Matching older high-end cores per clock is a genuine design achievement. What Huawei cannot match is the voltage-frequency curve and transistor budget of leading-edge nodes, which let Apple, Qualcomm and others spend more transistors in the same area on wider cores, larger caches and deeper buffers while running at lower voltage. Huawei’s LogicFolding roadmap is one answer, stacking active logic to recover density and shorten signal paths. We return to it later. The GPU compute units (CUs) changed more visibly than the CPU cores, moving to a more rectangular layout for both the arithmetic logic unit (ALU) clusters and the CU overall. Even with ray-tracing support added, a CU shrank ~28%. However, that shrink is offset by the increase from 4 to 6 CUs and the area outside the CUs grew 33%. Overall, the GPU cluster is larger by ~10%. The GPU is where Huawei makes its biggest gains. The Maleoon 935 is not competitive with current flagships, but it is a large step up from the 920 and reaches older-flagship territory. In 3DMark it is 70% faster in Wild Life Extreme (WLE) and 79% faster in Steel Nomad Light (SNL) than the 920; with 11% higher clocks and 50% more CUs, the ~67% theoretical uplift roughly matches WLE and is beaten by SNL. It edges ahead of the Snapdragon 8+ Gen 1 in WLE and SNL, and the Dimensity 9200 and Apple A16 in WLE, but stays far behind newer parts: the Snapdragon 8 Elite Gen 5 and Dimensity 9500 are ~2.4–2.6× faster in WLE and ~3.2× faster in SNL. The Maleoon 935 is Huawei’s first GPU with hardware-accelerated ray tracing; there it lands slightly ahead of the Exynos 2200, and on par with the Apple A16, with current flagships up to 3.7× faster. The Neural Processing Unit (NPU) saw the largest structural changes of any block, moving from a Lite and a Tiny core in the Kirin 9020 to a Lite and two Tiny cores in the Kirin 9030. Both core types also show significant layout changes. This is a reversal in Huawei’s NPU design. The Kirin 9000 5G, its last flagship chip on TSMC N5, used two Lite and one Tiny core. The series of SoCs on SMIC N+2 moved to one Lite and one Tiny core, likely for area savings. With the Kirin 9030, Huawei has shifted back toward a larger multi-core NPU cluster, but with the additional area going to a Tiny core rather than a Lite core. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. Before diving into the process stack, the package and memory are worth separating from the SoC itself. The Pro variant of the Kirin 9030 carries 12 GB of Samsung DRAM, with two stacks of four dies each. The dies were identified as the K4L2E165YD, a 12 Gb LPDDR5X-9600 device fabricated on Samsung’s 1a node, the fourth generation of its 10 nm-class DRAM after 1x, 1y and 1z. 1a has shipped in volume since 2022, so this is current memory rather than older-node inventory. The 16 GB Pro Max variants we obtained were found with both CXMT and Samsung packages. The CXMT package is marked CXDD7JEDM, with two stacks of four dies, packaged in week 45 of 2025. The inferred die dimensions from X-ray computed tomography (CT) are consistent with a known density of ~0.3 Gib/mm² for the CXMT G4 process, roughly equivalent to other manufacturers’ 1z processes. The Kirin 9030 uses a typical integrated package-on-package (iPoP) stack: multiple DRAM dies in a memory package sit above an organic redistribution layer (RDL) interposer, which sits above the SoC and package substrate. The full package is then mounted to the printed circuit board (PCB) through ball-grid array (BGA) solder bumps. The memory package substrate is a thin bismaleimide-triazine (BT) laminate carrying the LPDDR5X stack. The organic RDL interposer over the SoC routes the PoP signals around the die and carries possible dummy thermal copper pillars. The package substrate, a thicker Ajinomoto Build-up Film (ABF) build-up over a BT core, fans the flip-chip bumps out to BGA pitch and embeds the power planes. The whole stack is organic. The only silicon is the SoC and the LPDDR5X dies; there is no silicon interposer. Keeping it all-organic brings the package’s coefficient of thermal expansion (CTE) close to the PCB’s, reducing board-level warpage, and avoids the cost of a silicon interposer the SoC’s bandwidth does not need. In an iPoP stack, the memory package connects to the organic RDL interposer through an array of solder bumps. Underfill fills the gap around those bumps, adding stiffness and protecting the joints from mechanical stress. The Pro and Pro Max variants differ here, which we cover behind the paywall. The die shot and architecture tell us how Huawei allocated its silicon budget. The process tells us what SMIC can manufacture. We use the Helio G99 as the process reference for TSMC N6. Both SMIC N+3 and TSMC N6 are evolutions of previous 7 nm-class nodes. We used targeted TEM cross-sections through logic and memory regions, imaged in both fin-cut and gate-cut directions. Each cross-section caption gives its horizontal field width (HFW), the real width of the imaged area. We start at the transistor fins, then move up through standard cells, local interconnect, and SRAM. SMIC has not overtaken Intel or TSMC. It uses aggressive DUV scaling and DTCO to reach N6-class density, but that density doesn’t translate into comparable performance and efficiency, for two reasons: the node gap to leading-edge nodes, and Huawei’s core designs. Fin Profile One of the most important knobs in a FinFET process is the fin profile: the shape of an individual fin and the channel where current passes from source to drain. The ideal fin is tall, narrow, and nearly vertical. A taller fin increases effective channel width, while a narrower fin improves electrostatic control by thinning the body the gate must control. Push either too far, and the process pays for it: weaker drive current, fragile fins, taper, footing and line-edge variation that hit yield and device variability. The Intel 22 nm, 14 nm, and 10 nm fin cross-sections show how FinFET nodes have improved over time. 22 nm fins were a first-generation structure, relatively short, wide and strongly tapered. The shape limits current density and reduces gate control uniformity across the height of the fin. At 14 nm and 10 nm, Intel pushed the fins taller and narrower while also making the sidewalls more vertical. Rather than shrinking the device, these changes increase the effective channel width per fin and improve electrostatic control. The trade-off is that taller fins at tighter pitches are much more difficult to manufacture. Now, let’s compare the Helio G99 on TSMC N6 with the Kirin 9030 on SMIC N+3. Both processes are in the same class, with fin pitch of 30-32 nm on N+3 and 34 nm in our N6 cross-section. The pitch for N6 is especially interesting as N7’s HD library is generally listed with a 33 nm fin pitch, and N6 did not shrink pitches directly. Its density gains came from DTCO instead of tighter pitches. The 34 nm pitch was stable across our sampled region and serves more as a comparison against the SMIC N+3 we have not investigated further. Pinning down N+3’s fin patterning scheme takes more than one core unit. The CPU cores show a dense ~32 nm pitch, with the pitch between N-P fin pairs alternating between 78 and 88 nm. Logic alone may be consistent with dual-pitch mandrels of 120 and 110 nm, but this is a complex and unusual approach. Combining the pitch from the the 8T SRAM, which has more complex repeat unit, with the CPU core sequence allows us to reverse engineer the patterning steps with more confidence. As both the logic and SRAM should share the same base grid, a single CD mandrel lithography pattern with 128 nm pitch undergoing SAQP produces a die-wide ~32 nm grid (128 nm/4), which supports the pitch sequencing seen in both logic and SRAM cells. In the sampled cross-sections, N+3 shows a taller, narrower, higher-aspect-ratio fin than N6. The measured fin aspect ratio is ~9.5:1 on N+3 versus 7.8:1 on N6. N+3 also shows less top rounding, with an estimated radius of ~2 nm, compared with 2.8 nm on N6. Even though the fin widths differ, the ratio of top rounding to fin width tells the same story, with N+3 at 0.37 and N6 at 0.44. In a geometric sense, lower is better; a perfectly rectangular fin would have no top-rounding penalty. These are single-digit-nanometer features measured from a handful of cuts, so treat the absolute numbers as approximate. The important result is the relative gap: N+3’s fins are consistently taller, narrower and less rounded than N6’s. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. Standard Cell A standard cell is the basic building block of chip layout: a fixed-height row pairing one NMOS and one PMOS transistor that share a gate, tiled in a grid to build logic blocks. The key dimensions are contacted gate pitch (CGP), cell height (CH), fin count, and the lower-metal routing grid. To measure density, we use the Bohr metric: a weighted average of NAND2 gate area (60%) and scan flip-flop area (40%). This represents a realistic mix of combinational and sequential logic. This metric has its limitations, especially for complex cell layouts like TSMC’s FinFLEX, which alternates cells with different fin counts. Even so, it is the best metric for a pure process-level comparison. Another important measurement is the fin pitch; it refers to the distance between two fins of the same transistor. In a FinFET process, multiple fins are used in each transistor to increase the drive current and thus performance. TSMC N6 ships both a high-density (HD) library with 2 PMOS and 2 NMOS fins per cell, and a high-performance (HP) library with 3 of each. More fins under the shared gate mean more effective channel width. HP cells switch harder at the cost of area. Designers mix the two on a die, primarily spending HP cells on timing-critical paths, and matching their PPA targets. In the Cortex-A55 core of the Helio G99, we found a cell height of 240 nm for the HD cell. MediaTek has used HD cells in the G99 to minimize die size and thus cost. As an SoC for budget smartphones at ~$100, this is essential. By contrast, we found only one library in the Kirin 9030, with 2 NMOS and 2 PMOS fins. This suggests a narrower library strategy than TSMC N6, where both HD and HP libraries are widely used. This likely reflects the smaller customer base and the more constrained domestic design and electronic design automation (EDA) ecosystem. In all three CPU cores of the Kirin 9030, we found cell heights of 228 nm, 5% smaller than on N6. This is also a reduction of 9.5% over SMIC N+2’s cell height of 252 nm. SMIC N+3 and TSMC N6’s HD library both feature a CGP of 57 nm. For SMIC, this is a 9.5% shrink over N+2. In the past, CGP and cell height alone may have been enough to compare transistor density. Now, however, we must consider scaling boosters and DTCO as well. SMIC’s density gain does not come from EUV. It comes from using every available DTCO booster aggressively. First is fin depopulation: reducing the number of NMOS and PMOS fins in each cell. The first FinFET nodes started with 3 or 4 fins for each transistor. SMIC N+3 and TSMC N6 HD both use only 2 fins per transistor, trading drive strength for density. Next is contact over active gate (COAG). By landing the gate contact directly over the active gate, instead of out over the isolation region, the cell height drops. N+3 integrates COAG while N6 does not. Our N+3 gate-cut cross-sections indicate COAG, with the gate contact sitting over the active region, while N6 shows an off-gate contact. Last is single diffusion break (SDB). Diffusion breaks are inserted between cells in the same row to provide electrical isolation, but they also introduce local layout effects (LLE), layout-dependent shifts in electrical characteristics. In the past, a double diffusion break was used, consuming the space of two CGPs. SMIC N+3 and TSMC N6 instead use SDB, saving area but increasing LLE sensitivity. This must be controlled at the process level and accurately modeled in the process design kit (PDK) so that EDA tools can account for it. Overall, SMIC N+3 has a transistor density of 113.4 MTr/mm², slightly above TSMC N6 at 107.7 MTr/mm². Even without EUV, SMIC has achieved density beyond TSMC’s mature N6 node which utilizes EUV. Metal Stack The smallest critical dimension in the teardown is M0; SMIC N+3 uses a 32.5 nm local metal pitch. That is smaller than the 36 nm M0 pitch on Intel 18A in Panther Lake. However, this does not mean that SMIC has a better process than Intel 18A or TSMC N3P. M0 is a local intra-cell routing layer. Its usefulness depends on the full interconnect stack: M1 and M2 pitch, track count, via and line resistance, design rules, mask count, overlay control, and routing flexibility. The 32.5 nm M0 is consistent with self-aligned quadruple patterning (SAQP), whose four-population line-width loading we read coarsely as alternating widths of 21.5 to 24 nm; M1 and M2, at 38 and 40 nm, are consistent with self-aligned double patterning (SADP), a single A/B split. On TSMC N6, M0, M2, and M3 sit at a relaxed ~40 nm and are consistent with SADP-class double patterning, with no need for quadruple patterning. That said, we measure M2 for example at ~43 nm, likely inflated by sparse routing. We do not assign any specific layer to EUV from our cross-sections; the distinction we can draw is double versus quadruple patterning, not lithography wavelength. Transistor-level density in the front-end-of-line (FEOL) sets an upper bound, but the design is ultimately limited by what the interconnect stack can route. The lowest metals are the most important for standard-cell density, but the semi-global and global layers determine how usable that density is at the block and chip level. Two axes are commonly used for chip cross-sections: the fin-cut and the gate-cut. The micrograph above is a fin-cut and shows metals 0 through 3. This axis lets us see the even-numbered metals, with M0 right above the fins. There are two kinds of M0 lines. The first are the power rails; these are wide wires for the VDD and VSS running horizontally at the top and bottom edges of each standard cell. The wide wires measure 55 nm across, more than double the other M0 lines. Their width minimizes resistance and reduces IR drop. The second kind are intra-cell wires, short segments within the cell that connect terminals to M1. These have alternating widths between 21.5 and 24 nm. The M0 pitch is 32.5 nm, a 19% reduction versus N+2 and N6. At this pitch, DUV patterning requires more aggressive multi-patterning, increasing mask count, overlay sensitivity, process complexity and cost. M0 is below what a single DUV-defined spacer (SADP) can resolve, so SMIC cascades a second spacer step (SAQP). The cross-section reflects the cost: the M0 trenches are visibly more re-entrant (narrower at the bottom than the top) than M1 or M2 on the same chip and carry a bright barrier-rich foot where the trench meets the etch-stop layer. That shape is partly the intended damascene profile, as a slightly narrow bottom helps void-free copper fill, but its magnitude at M0 is driven by the tight pitch and the higher trench aspect ratio. Intel 18A supports an M0 pitch of 32 nm, although Panther Lake has only shipped with a looser 36 nm pitch. This is due to Intel’s heavy usage of HP libraries. Among leading-edge nodes, 18A has the loosest M0 pitches due to PowerVia. With power routing moving to the backside, congestion is reduced, and the entire front-side metal stack can be used for signal routing. M2 is the first true inter-cell routing layer. It runs horizontally like M0 but spans across multiple cells to carry block-level signals. The M2 pitch sets the cell’s track height – the number of M2 tracks that fit between the VDD and VSS rails, defining what the library calls a 6-track or 7.5-track cell. This layer is the most important, limiting the routing of entire blocks. SMIC N+3 features a 5.7-track cell. The M2 pitch is 40 nm, a 5% decrease over N+2 and the same as N6. This shrink keeps the pitch at the edge of what is possible with double patterning. Future nodes will need to increase the number of masks for M2 as reducing the number of tracks is much harder due to the limitations in routing. The micrograph above is in the perpendicular direction, the gate-cut, and shows metals 0 through 4. This allows us to see and measure the odd-numbered vertical metal layers. The M1 pitch is 38 nm, 9.5% less than N+2 and 33% less than N6. The M1-to-gate ratio matters because it sets local routing flexibility. N+2 and N+3 use a 3:2 ratio, while N6 uses a 1:1 ratio, explaining the huge differences in M1 pitch. The more M1 lines there are compared with the gates, the more flexibility there is for power and signal crossing within the cell. Routing flexibility enables more complex and better cells. Clean fractional ratios are also preferred as a grid is periodic and improves layouts. The 3:2 ratio gives SMIC more local routing flexibility than a strict 1:1 grid, but it also complicates layout and patterning. This is a DTCO choice, with SMIC increasing process complexity to recover density and routability without EUV. This 3:2 ratio is not very popular in the leading-edge nodes. TSMC has only used it on N7+, the N5 family, and the short-lived N3(B). They have switched back to a 1:1 ratio for N3E. Intel has only used it on the 10 nm/Intel 7 family, with Intel 4, 3 and 18A all using a 1:1 ratio. Samsung is the only one still using a 3:2 ratio at the leading edge, using it in the SF4 and SF3 families. It remains to be seen if SMIC will remain at a 3:2 ratio or move to a 1:1 ratio with its future nodes. The industry is still actively exploring these local-routing ratios. At VLSI 2026, imec will be presenting work on even higher ratios, including a 2:1 scheme that can reduce area by up to 14%. We will be covering the conference in a future newsletter article. Subscribe We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. The final local interconnect layer for N+3 is M3, with a pitch of 44 nm. The M3 pitch is the same as on N+2 and 10% larger than on N6. The semi-global layers carry the majority of block-level signal routing. They have a coarser pitch than the lower local layers. On leading-edge nodes, they are designed to sit at the limit of DUV single patterning. M4 through M11 pitches were found divided between 80–82 nm (M4–M6), 128 nm (M7–M10), and 148 nm (M11). Given limited sampling, it is possible these are divided further in dense routing areas. At the top are two giant metal layers, M12 and M13. These have kept the same pitches as N+2 at 1920 nm and 4600 nm respectively. While the lower layers’ pitches are generally fixed by the process and library, the upper layers vary much more in pitch and count, depending on the design. Even two smartphone SoCs on the same process can have wildly different metal stacks. The Helio G99 carries fewer routing layers, reaching coarse metal pitches of 850 nm by M9, while the larger and higher-performance Kirin 9030 keeps fine pitches until M11. SRAM At the leading edge, SRAM is much more difficult to scale than logic. TSMC’s latest nodes have seen little to no bitcell scaling, while logic still has more DTCO levers to pull. While looking for other logic libraries in the GPU compute units, we stumbled upon the SRAM. The most common type of SRAM has 6 transistors (6T), but this cell had 8 transistors (8T) instead. 8T SRAM adds two transistors to form a dedicated read port. Unlike a 6T cell, where reading disturbs the storage, the decoupled read port removes read-disturb, improving read stability and letting the cell be pushed harder for performance. At first glance, the cut looked like an unusual logic library, with each cell row having 3 fins of one polarity and 5 fins of another. The rows also alternated in orientation. Energy-dispersive X-ray spectroscopy (EDS) resolved our confusion. The cut had not landed on the GPU logic, but on the SRAM macro beside it. The unusual fin pattern was due to the SRAM library. We return to EDS in the process flow analysis behind the paywall. SRAM libraries are not like traditional logic libraries. Due to the unequal number of PMOS and NMOS transistors, they require specialized rules and layout libraries. They do not need the flexibility of logic libraries, so they are hyper-optimized for one purpose: dense, reliable memory. The SRAM cell we found is a 1:2:2-2:2 cell. This means there is 1 fin per pull-up (PU) PMOS transistor, and 2 fins per pull-down (PD) and pass-gate (PG) NMOS transistor. These 2 PU, 2 PD and 2 PG transistors would usually form a single 6T high-current cell (HCC). An 8T HCC adds a read-pull-down (RPD) and a read-pass-gate (RPG) NMOS transistor, each with two fins. We measured a cell height of 406 nm, which brings the bitcell size to 0.0463 µm². That is a theoretical peak density of 21.6 Mib/mm². We estimate that a 6T HCC would have a cell height of 292 nm and a size of 0.0337 µm². This is ~12% larger than a 6T HCC on Intel 3 and 4. We also estimate the 6T high-density cell (HDC) to have a cell height of 228 nm and a size of 0.0260 µm². This is coincidentally the same as the logic standard-cell height measured earlier. The estimate puts the cell near Samsung 7LPP/5LPP and slightly below TSMC N7/N6. That is a theoretical peak density of 38.5 Mib/mm². 6T HDC is arguably the most important cell as it is used for the largest caches in a chip, the L3 caches and system-level cache (SLC). Both the Kirin 9020 and 9030 have split the SLC into 4 banks to raise total SLC bandwidth. In the Kirin 9030, the SLC increased from 2 MiB to 3 MiB per bank. Correspondingly, the number of arrays within the bank also increased by 50%, from 16 to 24. Each array can store 128 KiB and forms an orderly pattern on the die shot. From the Kirin 9020 to the Kirin 9030, the area of a 128 KiB SLC array decreased from 0.0477 mm² to 0.0392 mm², an 18% shrink. The achieved density is 25.5 Mib/mm², 66% of the theoretical maximum. While the SLC was quite similar across both chips, the L3 has seen some major changes, particularly in terms of its layout. The total capacity also went up from 10 MiB to 12 MiB. Much like the SLC, the L3 is also split into 4 banks. In the Kirin 9020, an L3 bank consisted of 16× 128 KiB arrays and 16× 32 KiB arrays. However, an L3 bank in the Kirin 9030 instead consists of 48× 64 KiB arrays. In the Kirin 9020 L3, a 128 KiB array was 0.0513 mm² and a 32 KiB array was 0.0154 mm². The size of the 128 KiB array is different on the L3 and SLC as the assist circuitry for the two arrays differs depending on their purpose. In the Kirin 9030 L3, a 64 KiB array is 0.0210 mm². Although not a like-for-like comparison, normalized for capacity, it is 18% smaller than the 9020’s 128 KiB L3 array and 31% smaller than its 32 KiB L3 array. The achieved density is slightly lower than the SLC, at 23.8 Mib/mm², 62% of the theoretical maximum. Unlike the L3 and SLC, the prime cores’ private L2 cache uses a 2-bank design. As the prime cores’ L2 is latency-critical, it likely uses 6T HCC instead of 6T HDC. The 9020 has 16 arrays in each bank while the 9030 has 32. Each array has a capacity of 32 KiB. A 32 KiB array in the L2 shrank from 0.0171 mm² to 0.0142 mm², ~17% smaller. The density is 17.6 Mib/mm², ~59% of the theoretical maximum for 6T HCC. SRAM scaled well from N+2 to N+3, shrinking by ~19%, close to the theoretical logic shrink. The caveat is that N+2’s bitcells were unusually large, bigger than comparable 7 nm-class nodes, so part of the gain is catch-up rather than true scaling. With the insights from STEEL’s teardowns, we will be doing a deep dive into SRAM in a future newsletter article. Subscribe Everything above came out of a single STEEL teardown: die annotation, block-level area analysis and TEM cross-sections through logic and SRAM. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Future Roadmap The same cross-sections that pin down N+3 also show where SMIC can go next. Although N+3 is already close to the practical limits of DUV multi-patterning in several layers, SMIC still has a few scaling levers left. A theoretical N+4 would likely start with cell height. N+3 uses 5 M0 tracks between its power rails. Moving to 4 M0 tracks, as on SMIC N+2 and TSMC N6, could reduce cell height by roughly 15%. The routing grid is only one side of the shrink; the front end also must fit into the smaller cell. One possible FEOL lever is reducing the p-to-n isolation spacing from two diffusion grid units to one. Intel used this scaling booster on Intel 4, and TSMC did so on its N3 family. This path trades layout flexibility for density. Fewer M0 tracks reduce local routing resources, while tighter p-to-n spacing raises integration and design-rule difficulty. M2 is also constrained by the cell height shrink. For SMIC to maintain a ~5.7-track cell, M2 would need to move toward ~35 nm. That would move another layer into SAQP territory. SMIC could also reduce the CGP from 57 nm to 54 nm. Intel reached a similar CGP on Intel 10 nm/Intel 7 without EUV. The local interconnect is also tougher. If SMIC keeps the 3:2 M1-to-gate ratio, M1 would need to shrink to 36 nm and would likely require SAQP as well. If SMIC moves to a 1:1 ratio, M1 could relax to 54 nm, but it would give up routing flexibility. Under this theoretical path, we estimate that SMIC N+4 could reach a cell height of 198 nm and a CGP of 54 nm, implying a Bohr density of 137.8 MTr/mm², on par with TSMC N5 or Samsung SF4. However, the difficulty is cumulative. Each step is individually plausible, but together they make N+4 harder than the transition from N+2 to N+3. It will likely take longer, cost more, and carry less process margin. A theoretical N+5 would require a larger integration shift. One possible path is backside contacts (BSCon), moving power routing and source/drain contacts to the backside, which would reduce front-side routing pressure and enable another reduction in cell height. The front-side metal pitches could relax to reduce the process complexity. M0 would likely relax slightly to ~34 nm, and M2 and M4 pitches could relax further. CGP is unlikely to shrink much further. Even with EUV, 48 nm has been the practical limit for yield and process control. This approach would allow N+5’s cell height to fall to 170 nm and its CGP to 53 nm. This implies a Bohr density of 163.6 MTr/mm², on par with Intel 18A’s HP library. However, this would not make N+5 cost-competitive with the leading edge. It would reach a similar density through a much more expensive route. The integration difficulty rises sharply, with new process flows for backside alignment, wafer thinning, contact reveal, and backside metallization. Past this point, standard density and interconnect scaling become increasingly unattractive. That is where Huawei’s roadmap stops looking like a normal foundry roadmap and starts looking like a packaging roadmap. At ISCAS 2026, Huawei unveiled its tau (τ) scaling law, reframing process scaling in the time domain. τ is the time cost of data movement and processing: switching delays in transistors, RC signal propagation delays in circuits, compute, memory, and networking latency. Outside Huawei’s terminology, this is called system-technology co-optimization. This is Huawei’s answer to its lack of EUV lithography. Without EUV, planar density cannot keep pace with TSMC, Intel, or Samsung. If transistor density cannot shrink further, Huawei’s alternative is to shorten wires, reduce buffering, and stack logic vertically. “LogicFolding”, Huawei’s implementation of this new scaling idea, is, in practice, an aggressive 3D stacking approach. AMD V-Cache places SRAM above or below a CPU die. AMD’s MI350X places active interposer dies (AIDs) underneath accelerator and compute dies (XCDs), with the AIDs handling cache, IO interfaces, the network-on-chip (NoC) and embedded metal-insulator-metal (MIM) capacitors. With LogicFolding, parts of the same logic block are split across multiple active dies bonded face-to-face at ultra-fine pitch. This allows Huawei to shorten some critical paths and reduce buffer overhead, not merely add cache capacity or offload the IO and interconnect. Shortening wires is where the higher clocks come from. A large share of a modern core’s delay and energy budget goes into driving long interconnects and the repeater buffers along them. LogicFolding distributes a block’s critical-path gates across multiple stacked tiers bonded at a very fine pitch, so the bond interface behaves like an additional metal layer and the longest paths get shorter. That is how Huawei expects to recover frequency and efficiency it cannot get from the process alone. Huawei’s roadmap shows its intent. Prime core frequency is targeted to rise from 2.75 GHz in the Kirin 9030 to roughly 5 GHz by 2031, far beyond what planar scaling alone could deliver. Prime cores with 3.1 and 3.39 GHz clocks are being tested in its labs, although their power consumption is unknown. Beyond that, chips are in the design, simulation or pathfinding phase, meaning the frequencies are targets. However, the direction matters more: LogicFolding also helps with performance, not just density. The catch is that Huawei’s density claim is not directly comparable to foundry densities. A stacked design can report more transistors per package footprint by adding active layers, even if each patterned die remains well behind TSMC or Intel in front-end density. This is how Huawei can claim to reach foundry 14A-equivalent density by 2031. This is not a like-for-like foundry comparison, with Huawei using stacked logic and measuring density per package footprint. On a normalized Bohr-density basis, SMIC N+3 is ~114 MTr/mm², 38% less than Intel 18A’s HD library. Huawei’s 3D roadmap closes the gap by stacking active logic, reaching 215 MTr/mm² by 2030. In 2031, the roadmap density jumps to 295 MTr/mm², implying either a third active layer, partial EUV insertion or aggressive planar DUV scaling. Huawei’s methodology makes other foundries look much denser as well. Applying it to AMD’s MI450X with an N2 top die on an N3P base die yields a theoretical density of 460.2 MTr/mm² in 2026, compared with Huawei’s 295 MTr/mm² in 2031. This Kirin 9030 does not use LogicFolding, remaining in a conventional mobile SoC package. Instead, it forms the baseline for how far Huawei and SMIC can push planar scaling. Future teardowns of Kirin and Ascend chips will show both planar logic density and Huawei’s hybrid bonding solutions. Export controls changed China’s optimization problem rather than ending it. EUV restrictions raised the cost and complexity of leading-edge manufacturing without freezing it. SMIC reaches N6-class logic density through DUV immersion, SAQP and DTCO, while Huawei shifts more of the burden onto architecture, packaging and system-level integration. Future nodes will be tougher. N+3 still had room to tighten local metals and reduce cell height and CGP. Further scaling without EUV leaves fewer levers. More aggressive multi-patterning adds masks and overlay error. SMIC can keep pushing DUV, but each step will get more expensive and less forgiving. The design side is just as critical. Huawei had domestic EDA tools and flows before the Kirin 9030, with the Kirin 9000s, 9010 and 9020 making that clear. Huawei was able to ship multiple consumer SoCs on SMIC N+2 and N+3 while cut off from the Western EDA stack. US export controls restricted EDA tools for advanced chips in 2022 but did not target tools for more mature chips. In 2025, the US government briefly placed much broader restrictions on EDA software from Synopsys, Cadence, and others, before lifting them less than two months later as part of a trade deal tied to rare earths. Huawei has been unable to access those tools because it remains on a US trade blacklist. That forced Huawei, SMIC and Chinese academic institutions to build their own tools and flows. Researchers at Peking University recently announced a prototype EDA tool for Huawei’s LogicFolding architecture, which requires a new flow to handle the multilayer layout and floorplan. This is not the same as replacing the full Synopsys or Cadence stack, but it shows where domestic EDA is headed: toward tighter co-optimization between architecture, process and packaging. These advances are also diffusing into the Chinese ecosystem. SMIC is licensing its N+2 and N+3 processes to HLMC/Hua Hong at the government’s direction rather than by choice. If the same process learning feeds into Ascend accelerators for AI training and inference, the choke point shifts from one named fab to an ecosystem. Alibaba’s T-Head silicon arm and Cambricon, a Chinese AI chip designer that is expected to supply ByteDance, could also be major beneficiaries. Sanctions aimed at SMIC alone become less effective once the manufacturing knowledge has spread to other fabs and design houses. China is not closing the gap with Intel, Samsung and TSMC. The teardown shows the opposite in several places: no EUV, no backside power, higher process complexity, and visible trade-offs. But China is still advancing. If domestic chips become good enough for phones, inference, networking and security-sensitive workloads, they can matter strategically without matching TSMC at the leading edge. Behind the paywall, we show what else STEEL can do, with material and process flow analysis of SMIC N+3, and analysis of the Kirin 9030 package. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline, access the full Kirin 9030 and SMIC N+3 analysis or to commission a custom teardown, contact sales@semianalysis.com.
Who evaluates the evaluators? The data science behind agent evals
Learn how Copilot Studio approaches AI agent evaluation with generated data, grader validation, and scalable testing that improve agent quality.
Left-Out Left
Left-Out Left are a Democratic-oriented group marked by low expectations of the political system and a feeling that they are not well-represented. They largely doubt that political action will meaningfully improve their lives. And while they like the Democratic Party considerably more than the Republican Party, their evaluations of Democrats are lukewarm at best. Left-Out […]
We can create the future of science right now
Paul Litvak is the founder and Executive Director of the Robyn Dawes Institute and a Visiting Scholar at UC Berkeley. He has a PhD in Behavioral Decision Research from Carnegie Mellon where he studied emotions and the sunk cost bias. Over 15 years in industry, he solved a wide range of challenging technical problems. At Meta he created models optimizing the ad review process. At Google he ran experiments to measure social influence. At Airbnb, he was a product manager leading machine learning teams optimizing search ranking and price suggestions. He also co-founded and led product at Rhythmic Health, a venture-backed biosensing startup, creating an accurate low cost system using a color changing strip and a smart phone to measure salivary lactate. The bottleneck At this point, it is uncontroversial to say that science needs to stop using the PDF article as the unit of knowledge and currency. The unbearable slowness of scientific publishing, the profit motive and margins: I’m not saying anything new. The PDF also sucks because it’s hard to extract structured information, which makes it hard to do evidence synthesis. As a result, we do much less evidence synthesis than is needed. And evidence synthesis ultimately undergirds most policy and medical decision-making. I can see second-by-second real-time odds for any sporting or newsworthy event, but a school board can’t see the best evidence on whether their 8th graders should be taught algebra. As a society, we don’t treat this as an important problem. Again, not controversial. Not only is the problem well understood, but the solution has already been laid out. What we need is AI-assisted living evidence synthesis - (1) an open knowledge graph of atomic claims, (2) claims linked to evidence, (3) assessment and synthesis of each piece of evidence, and (4) continuous updating with new data. What few realize (yet) is that the technical capacity to build this vision for a significant portion of science already exists. Not only that, scientists and startup teams are already building many of these components. I know this because I’ve been surveying the space and talking to many of the builders. There are some missing pieces: for example, evaluations of how well some of the components work. But at this point, most of what’s missing is a fully end-to-end working integration of all of these parts. In the rest of this essay, I’m going to lay out all the parts of a working living evidence layer for science and who is working on them, and propose concrete next steps for building this system. What’s now possible The diagram above outlines the components of a living evidence synthesis platform, including some of the teams working on each component1. Scientific PDFs are processed into claims with associated evidence. The evidence is subjected to a forensic audit, methodological evaluation and robustness and reproducibility checks. Finally it’s given a weight in a continuously updating synthesis. What follows is a description and status of each component and a few of the teams working on them. Document understanding The first thing you need to be able to do is turn an article into structured data. Mostly that means parsing PDFs. There are often multicolumn layouts that confuse non-specialized PDF to text processing libraries. For scientific papers, there is the added complexity of parsing formulas and tables and figures. This is a really hot area - there are startups offering APIs, and it seems like a new open source package gets posted to Github every few weeks. What follows isn’t exhaustive. A package called GROBID was the state of the art for a while, they didn’t update their package for nearly two years until very recently. In the meantime reducto.ai released an AI powered PDF extraction API, PaddleOCR became popular, IBM released a model called Docling, and both Mistral and Gemini created models and libraries. I also know of at least one other well-funded psychology research group working on a paper parser. By contrast, there are few open evals in this space, with no extensive evals for complex table comprehension in particular. Nonetheless, I’m confident this will be a solved problem soon, given the combination of LLM advances and developer interest. Hypothesis level extraction There has been increasing interest in comprehending the extracted text of papers and linking information to evidence for each hypothesis. A lot of work has already been done. Trialstreamer (Marshall et al. 2020) and RobotReviewer LIVE (Marshall et al. 2023) demonstrated automated extraction of trial population, intervention, and outcome at scale on clinical RCTs. PaperQA2 (Skarlinski et al. 2024) and Ai2 ScholarQA (2024) extended this to retrieval-augmented question answering with citation grounding. Elicit, Consensus, and SciSpace operationalized claim-level extraction for end users. OpenEval (Booeshaghi et al. 2026) is the most recent and most ambitious: 1.96 million atomic claims extracted from 16,087 eLife manuscripts using Claude Sonnet 4.5, grouped into ~299,000 results, with LLM evaluations showing 81% agreement with human peer review on a 2,487-paper subset. None of these solutions link claims to test-statistics, as you would need to evaluate randomized controlled trials. This is why I built the evidence.guide API - to extract hypotheses and associated test statistics from behavioral science papers. The best public eval of this kind of extraction I’m aware of comes from the recent SCORE project - they had humans code thousands of psychology papers to extract their claims by hand. It would be extremely helpful to the world if all scientific PDFs were available as structured open data. I’ve been working to make this happen, both directly at Berkeley and through coordination with large entities I can’t yet speak of; as hard as it is to do, I think it’s possible2. Forensic audit A lot of work has been done on forensic audit, but some gaps remain. Of course, for biology papers that rely on images for evidence, there are a variety of tools (notably Proofig and ImageTwin) to spot anomalies. These are still well short of what sleuths like Elizabeth Bik can do on her own, but these tools are constant companions among fraud analysts. There’s someone working on auditing Excel files for anomalies, and a number of teams are automating numerical checks like GRIM and SPRITE, including Scrutiny project, the INSPECT-SR team as well as statcheck. The regcheck team is building a way to use AI to compare preregistrations to analyses in papers, to ensure there aren’t significant deviations. Nonetheless, there are many other kinds of anomalies to screen for, both public and less publicly known. And there are no formal evals for anomaly detection that I’m aware of. Still, there’s a lot to draw from in this space and I’m pretty certain we will be able to scan papers for most kinds of obvious anomalies in the near future. Methodological review This area has been white hot, though I fear for many of the startups in this space, because this capability may become commoditized. There are at least six different AI peer review companies, including Refine.ink, Reviewer3, ReviewerZero.ai, Q.E.D. Science, Paper Wizard, and Isitcredible. Coarse (a pun on refine) was also recently created as an open source alternative. These systems provide qualitative feedback on the content of papers, spotting methodological weaknesses and mathematical errors. They seem to work pretty well, and many academics report bitterly that they exceed the average quality of typical peer reviewers. But there are few evals here either. What evals exist so far involve using LLM-as-judge (circularity problems abound) or comparing against human reviews of questionable quality. What you’d ideally want is an eval that measures capturing known errors in papers3. Reproducibility and robustness Another active area has been using AI agents to automate computational reproducibility4 and robustness5 checks in papers that report numerical results. For more recent papers where data and code are available, AI agents can see whether they can re-run the analyses and produce the numbers reported in the published paper. In addition to a handful of individual academics who have been experimenting using Claude Code for this, the Institute for Replication is a leading group working on building an end to end system. The evals related to this problem are the most mature, with CORE-Bench (Siegel, Kapoor, Narayanan 2024) and PaperBench (OpenAI 2025) available to benchmark agents on this task. There is also work on getting AI agents to test alternative ways of analyzing the data to ensure the results are robust to small analytic design choices. Synthesis This is the most underdeveloped area where significant investment is required. Although some automated evidence synthesis systems exist — for example, otto-sr is building an AI agent to write systematic reviews — none of these incorporate the full range of paper level signals to weight evidence appropriately. Nor is there anything like an eval or a gold standard for a good systematic review. Arguably Cochrane reviews are the closest we have to gold standard human systematic reviews, though I’ve heard academics in the know complain about their uneven quality. A key question for a synthesis platform is how to weight anomalies and methodological issues in assessing the quality of a piece of evidence. This is an unsolved problem and one I’m very keen to work on. Continuous updating There are many pieces of basic infrastructure available for monitoring for new research and initiating updates. OpenAlex is the current open citation graph. Retraction Watch integrated into Crossref in October 2023. Scite tracks how citations support, contrast, or mention prior claims. The Living Evidence Network demonstrated continuous-update workflows in clinical guidelines. Engineering this is a relatively straightforward task. When you look over this technical architecture and all the progress being made, it’s hard not to be optimistic that a living guide to scientific evidence will be built. The stakeholders are ready The social infrastructure for this is starting to coalesce — it’s not just a pie in the sky academic exercise to imagine this coming into existence. Institutions like the Center for Open Science, the Institute for Replication, the INSPECT-SR, the Living Evidence Network and more are all working on scaling work to improve research quality. Funders are also aligned. The Sloan Foundation has funded living evidence work through COS. Coefficient Giving supports the Institute for Replication and COS. The Astera Institute and the Institute for Progress have shown interest in this space. NIH has established an Office for Replication and Reproducibility. Although there are (very unfortunately) serious headwinds in science funding generally, there is an active group of funders interested in metascience. A brief word about what I’ve been doing at RDI. First, as a Visiting Scholar at Berkeley I’ve been actively figuring out how a non-profit and a public university can conduct and make public the results of large-scale academic article data mining. With some of the money I raised from donors, I commissioned a legal analysis of recent case law and publisher text data mining (TDM) agreements in order to understand whether a massive open data mining of academic articles is possible (with caveats, it is). I’ve also been working to bring together stakeholders in this space, and identify gaps. I’ve also been doing some software development in this space, with more to come. A pilot proposal The assumption undergirding all of this is that an AI, given all this information, would make the right judgment about a scientific claim with lots of conflicting evidence, weighing all the factors appropriately. That’s the hypothesis we need to test. Randomized control trial research is the best place to focus on first. RCTs are used to make many of the important decisions in society - from medical trials to public policy changes. And they use a relatively uniform set of inferential statistics with lots of known and available diagnostics. Behavioral science experiments, within the broader realm of RCTs, should be first used as a testbed whose results can be generalized. Because behavioral science is at the vanguard of open science practices, replications abound (there are thousands of them) to serve as ground truth training data. Key Hypothesis Therefore the pilot would test, in behavioral RCTs that have been replicated, whether the quality of evidence for a claim can be used to accurately predict whether that claim will replicate. Secondary Hypotheses Compared to claims that replicated, non-replicated claims demonstrate a greater share of forensic anomalies in their source literatures. Hypothesis level claim and statistic extraction is accurate enough to scale living evidence without onerous human review costs. Replication prediction is more accurate than prediction markets6 or journal prestige. If all the different quality signals we gather do accurately predict which studies will replicate, then we can use that model to score evidence to power the living evidence layer. Why this is informative regardless of outcome If the pilot succeeds, the architecture extends to medical RCTs (where Living Evidence already operates and integration is mostly about claim representation), then to slices of basic biology with stable replication structure. If it fails, the field learns which quality signals are load-bearing and which ones metascience has oversold. Either result is a contribution to knowing what the literature supports. Implications for funders Because this burgeoning ecosystem of builders already exists, a well-informed philanthropic or government funder could play a crucial catalyzing role in bringing this future about. They could play at least three roles: creating open structured datasets, publishing open benchmarks and incentivizing the solving of key technical challenges. First, open archives of papers that the government maintains, like PubMed, could be turned into structured data amenable to large scale metascience and claim aggregation. I know the US government already has an interest in doing this, though some key open questions remain unanswered. How do you determine the best models and systems for accurately extracting information from papers? How can you establish a robust way to allow researchers to flag errors and correct them? And finally, how do you create a legal regime in working with publishers to maximize the scope of available papers? For the latter, a university or a private philanthropy may be better positioned to make structured data publicly available under journal subscription terms or fair use. Philanthropists or government funders could also coordinate to create or commission benchmarks that evaluate whether important problems have been solved. For example, an open benchmark for claim extraction from a range of different scientific article types would be extremely helpful. Ensuring the underlying data are accurate is vital for creating these evaluations. I’ve discussed opportunistically using various human-created datasets for this purpose, but a consistent problem is that errors in human data make it difficult for them to serve as a gold standard. Finally, with structured data and benchmarks available, the government or private philanthropy could use them to incentivize groups to develop machine learning systems that meet these benchmarks. Prizes are one potentially valuable tool for this. For example, you could establish a prize for a system that accurately updates a living meta-analysis for a small set of claims. Prizes are particularly useful as signals of problem importance, and can help create vibrant ecosystems of public and private research—see, for example the role the government played in kickstarting the current work on nuclear fusion. Conclusion The drawbacks of the current scientific publishing system are known. Scientists agree, metascientists agree, philanthropists agree: the published PDF plus citation graph isn’t the right substrate for maintaining a representation of the evidence base in science. The pieces needed to build the alternative either already exist or are rapidly taking shape. The community is forming around exactly this problem, with concrete partnerships and shared infrastructure. A pilot should start on behavioral science RCTs because that’s the slice of empirical science most amenable to legibility, where replication ground truth is richest, and where the failure modes are best documented. What’s been missing is the galvanizing mission to assemble these pieces into something that works. That’s what I’m proposing to build. *** 1 I have a broader field map that I’ll release publicly soon. This is me, building in public! 2 If this is something that you are excited about, please reach out and talk to me. 3 More on this very soon too! 4 This tests whether, given the code and the data, you can get the same statistics as reported in the published paper. 5 This tests whether the results are the same as a paper’s given alternative analytical decisions in conducting the analysis (like outlier omission). Closely related is the idea of a “multiverse” where you come up with many different ways of answering the same underlying research question with the same data, and test whether the results hold in all those alternative methods. There’s been work on the latter as well. 6 Some of the replications, e.g. those from the SCORE project, had paired the experiments with forecasts from prediction markets. So we get to look at this for free.
Seven-second X-ray assesses severity of regurgitation congenital heart defect patients
Moving X-ray images can help evaluate pulmonary regurgitation in Tetralogy of Fallot patients.
Seven-second X-ray assesses severity of regurgitation congenital heart defect patients
Moving X-ray images can help evaluate pulmonary regurgitation in Tetralogy of Fallot patients.
New Microsoft tool lets devs spin up AI behavior tests using text descriptions
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Building Structured Generative AI Evaluation at Enterprise Scale
How Oracle built Veritas, a scalable GenAI evaluation framework for structured benchmarking, reusable pipelines, reproducible testing, and enterprise AI evaluation workflows.
Polish scientists and students rally in campaign for 3% funding target
Polish scientists and students have been flooding social media with calls on the government to raise research and development spending as part of 3% for Science, 100% for Poland, a campaign born earlier this month out of frustration with chronic underfunding in the academic sector. On May 27, thousands took the slogan on to the streets.The EU has been trying to convince member states to raise their R&D expenditures to 3% of GDP for more than two decades, but the idea has never gained traction in capitals. Finance ministers were too busy plugging budget holes created in the aftermath of the 2008 crisis, then the Covid pandemic, the war in Ukraine, and now the war in Iran.Critics say that countries missed or ignored the target because it is voluntary, but also because research communities have rarely raised their voice to put pressure on national governments. The European Commission hopes to make the target legally binding in the upcoming European Research Area Act, an EU-wide regulation that should be announced by the end of the year. Academia in Poland has been faced with a funding crisis for years, often leaving its members with no other choice but to work abroad in order to access better resources, or leave the sector altogether in the hope of earning a decent living. The risk, in the long-term, is that brain drain stifles local innovation capacity and technological competitiveness.In just a few weeks, the movement rallied nationwide support, including from major academic bodies and trade unions such as the Conference of Rectors of Academic Schools in Poland and the Presidium of the Polish Academy of Sciences. Its public petition collected more than 23,000 signatures. On May 27, it formed the first large protest for science in Poland, gathering thousands of people in front of the parliament building in Warsaw.Ilona Uryga-Bugajska, representative of the Marie Curie Alumni Association Poland Chapter, was there. “The protest was peaceful, with no incidents reported, and the entire event took place in a respectful and calm atmosphere,” she said. Banners she saw in the crowd carried slogans such as “A little longer and I’ll be teaching in a supermarket,” “National culture, starvation salary,” “Stop the destruction of science,” “Passion will not pay the rent,” “Without action, don’t expect a better future,” and “Pull science out of the hole.” She also observed a strong presence of young researchers, who are on the frontline of Poland’s academic crisis.“Academics are usually people who prefer discussion, analysis, dialogue and compromise. We are not a group that protests easily,” said Katarzyna Marzec, professor at the Faculty of Pharmacy of the Jagiellonian University Medical College and AGH University of Krakow, who also took part. “But many of us feel that we have been pushed against the wall.”Aleksandra Rutkowska, translational neuroscientist and research group leader at the Medical University of Gdańsk, agreed. “Frustration in the scientific community is very high,” she said. “Science is often used politically as a symbol of innovation and modernity, but the everyday reality inside many institutions is much more difficult. There is a large gap between the public narrative and the actual condition of the sector.”Maria Wiktoria Górna, head of the structural biology group at the University of Warsaw and one of the organisers of the movement, told Science|Business that the campaign would continue without proven results. This might involve another strike in the autumn, she said. “Empty promises are not enough by now.”Campaign demandsAccording to Uryga-Bugajska, the organisers officially presented their demands and concerns to representatives of the government present at the event. These included Marek Gzik, deputy minister of science and higher education, and Karolina Zioło-Pużuk, secretary of state of that same ministry.The headline demand, for the government to increase national spending on R&D to 3% of GDP by 2030, should be within Poland’s economic capacity, Rutkowska said. “The real question is whether there is genuine long-term political commitment to treating science as a strategic priority rather than a slogan.”In 2024, R&D expenditure in Poland stood at 1.41% of GDP, which is slightly above the average for central and eastern Europe, with countries such as Czechia recording 1.82%, Hungary 1.31% and Romania 0.46%. However, it falls noticeably short of the EU average of 2.24%, which just a handful of countries exceed, including Germany, Belgium and Sweden.Campaigners are also asking for fair wages for scientific staff, including PhD stipends and junior academic salaries, which are widely considered uncompetitive. Starting doctoral scholarships amount to some €843 gross per month, when the statutory minimum wage stands at €1,135. By pushing early-career researchers out of Poland, growing precarity has caused a generational gap in the academic workforce, with just 25% of lecturers aged under 40. In this context, the movement fears that scientific careers could soon be accessible to a privileged minority only.Grzegorz Spólnik is a case in point. After 15 years working in mass spectrometry at the Polish Academy of Sciences, he decided to leave partly “to earn enough money to live a normal life,” he said. “At that time, my earnings were similar to those of people working in grocery shops, and the work-life balance is something that does not exist in science, or is very hard to achieve.”Now a senior field service engineer for Polish laboratory equipment supplier Bioanalytic, he would consider going back to research, “but never in the public sector, maybe some start-up or a big private company with ambitious R&D.”The campaigners want to see more support for basic research and have called for €236 million to be added to the budget of the National Science Centre (NCN) in 2027 so that the average grant application success rate does not fall below 25%.“At the protest, there was a banner I particularly liked: ‘NCN is not a lottery.’ Unfortunately, for many researchers, it increasingly feels exactly like one,” Marzec said. “Personally, I am one of the lucky ones. I work at two of the strongest institutions in the country, where the research standards are very high. I know that in many other institutions, the situation is much worse and obtaining funding for research at an early-career stage is becoming nearly impossible.”Rutkowska also considers herself fortunate. After studying abroad and holding a postdoctoral position, she returned to Poland, where her pay was supported through an NCN-funded project linked to the Marie Skłodowska-Curie Actions. “This also made me very aware that good research conditions in Poland often depend on external competitive funding rather than on stable support from the system itself,” she said.Long-term strategyBeyond the lack of funds for both salaries and grants, scientists believe that the issue is structural. “The biggest problem at the moment is the complete lack of a clear long-term strategy for the development of science and research from the current government,” Marzec said. “Everything ends with declarations and promises that are never truly followed by concrete actions or structural reforms.”Rutkowska agreed, citing a lack of infrastructure, continuity and long-term institutional support.“Running a research group in Poland often means functioning as an entire institution at once,” she said. “I am a principal investigator, a mentor, a recruiter, a project administrator and, when needed, still someone who returns to the lab bench to help with experiments,” she went on. “This creates a large hidden workload that takes time and energy away from actual science. At times, it feels as though scientists are no longer expecting extra help; we simply hope the system will stop creating additional obstacles that make research unnecessarily difficult.”Related articlesStrategic thinking: Germany funds joint research with Poland and FrancePoland to transfer €30M of regional funds to boost Horizon Europe participationPoland is funding fewer basic research grants as high inflation hitsIn short, “academics are expected to teach, publish papers, apply for grants and conduct high-quality research, while funding and salaries remain very limited,” said Uryga-Bugajska, who returned to her home country after 13 years in the UK.According to Marzec, another issue is the way that research institutions are evaluated. Previously, this took place every four years, with a clear differentiation between stronger and weaker institutions. “The current government, perhaps to avoid political backlash, effectively concluded that everyone is doing well, so in practice no meaningful evaluation took place,” she said.But in her view, “some form of serious assessment is necessary” to ensure the excellence and international competitiveness of Polish institutions, and to determine how to best use public resources and where institutional structures need reform. “Some institutions may need to rethink hiring practices in order to attract ambitious young researchers who are capable of obtaining competitive grants and building internationally visible research groups.” Rutkowska has already had to adapt. “When hiring PhD students, I often have to combine different funding sources creatively to make positions attractive enough for talented people to stay in science,” she said. “Many young researchers do not see a stable future in academia in Poland, and that is deeply worrying.”
Polish scientists and students rally in campaign for better conditions
Polish scientists and students have been flooding social media with calls on the government to raise research and development spending as part of 3% for Science, 100% for Poland, a campaign born earlier this month out of frustration with chronic underfunding in the academic sector. On May 27, thousands took the slogan on to the streets.The EU has been trying to convince member states to raise their R&D expenditures to 3% of GDP for more than two decades, but the idea has never gained traction in capitals. Finance ministers were too busy plugging budget holes created in the aftermath of the 2008 crisis, then the Covid pandemic, the war in Ukraine, and now the war in Iran.Critics say that countries missed or ignored the target because it is voluntary, but also because research communities have rarely raised their voice to put pressure on national governments. The European Commission hopes to make the target legally binding in the upcoming European Research Area Act, an EU-wide regulation that should be announced by the end of the year. Academia in Poland has been faced with a funding crisis for years, often leaving its members with no other choice but to work abroad in order to access better resources, or leave the sector altogether in the hope of earning a decent living. The risk, in the long-term, is that brain drain stifles local innovation capacity and technological competitiveness.In just a few weeks, the movement rallied nationwide support, including from major academic bodies and trade unions such as the Conference of Rectors of Academic Schools in Poland and the Presidium of the Polish Academy of Sciences. Its public petition collected more than 23,000 signatures. On May 27, it formed the first large protest for science in Poland, gathering thousands of people in front of the parliament building in Warsaw.Ilona Uryga-Bugajska, representative of the Marie Curie Alumni Association Poland Chapter, was there. “The protest was peaceful, with no incidents reported, and the entire event took place in a respectful and calm atmosphere,” she said. Banners she saw in the crowd carried slogans such as “A little longer and I’ll be teaching in a supermarket,” “National culture, starvation salary,” “Stop the destruction of science,” “Passion will not pay the rent,” “Without action, don’t expect a better future,” and “Pull science out of the hole.” She also observed a strong presence of young researchers, who are on the frontline of Poland’s academic crisis.“Academics are usually people who prefer discussion, analysis, dialogue and compromise. We are not a group that protests easily,” said Katarzyna Marzec, professor at the Faculty of Pharmacy of the Jagiellonian University Medical College and AGH University of Krakow, who also took part. “But many of us feel that we have been pushed against the wall.”Aleksandra Rutkowska, translational neuroscientist and research group leader at the Medical University of Gdańsk, agreed. “Frustration in the scientific community is very high,” she said. “Science is often used politically as a symbol of innovation and modernity, but the everyday reality inside many institutions is much more difficult. There is a large gap between the public narrative and the actual condition of the sector.”Maria Wiktoria Górna, head of the structural biology group at the University of Warsaw and one of the organisers of the movement, told Science|Business that the campaign would continue without proven results. This might involve another strike in the autumn, she said. “Empty promises are not enough by now.”Campaign demandsAccording to Uryga-Bugajska, the organisers officially presented their demands and concerns to representatives of the government present at the event. These included Marek Gzik, deputy minister of science and higher education, and Karolina Zioło-Pużuk, secretary of state of that same ministry.The headline demand, for the government to increase national spending on R&D to 3% of GDP by 2030, should be within Poland’s economic capacity, Rutkowska said. “The real question is whether there is genuine long-term political commitment to treating science as a strategic priority rather than a slogan.”In 2024, R&D expenditure in Poland stood at 1.41% of GDP, which is slightly above the average for central and eastern Europe, with countries such as Czechia recording 1.82%, Hungary 1.31% and Romania 0.46%. However, it falls noticeably short of the EU average of 2.24%, which just a handful of countries exceed, including Germany, Belgium and Sweden.Campaigners are also asking for fair wages for scientific staff, including PhD stipends and junior academic salaries, which are widely considered uncompetitive. Starting doctoral scholarships amount to some €843 gross per month, when the statutory minimum wage stands at €1,135. By pushing early-career researchers out of Poland, growing precarity has caused a generational gap in the academic workforce, with just 25% of lecturers aged under 40. In this context, the movement fears that scientific careers could soon be accessible to a privileged minority only.Grzegorz Spólnik is a case in point. After 15 years working in mass spectrometry at the Polish Academy of Sciences, he decided to leave partly “to earn enough money to live a normal life,” he said. “At that time, my earnings were similar to those of people working in grocery shops, and the work-life balance is something that does not exist in science, or is very hard to achieve.”Now a senior field service engineer for Polish laboratory equipment supplier Bioanalytic, he would consider going back to research, “but never in the public sector, maybe some start-up or a big private company with ambitious R&D.”The campaigners want to see more support for basic research and have called for €236 million to be added to the budget of the National Science Centre (NCN) in 2027 so that the average grant application success rate does not fall below 25%.“At the protest, there was a banner I particularly liked: ‘NCN is not a lottery.’ Unfortunately, for many researchers, it increasingly feels exactly like one,” Marzec said. “Personally, I am one of the lucky ones. I work at two of the strongest institutions in the country, where the research standards are very high. I know that in many other institutions, the situation is much worse and obtaining funding for research at an early-career stage is becoming nearly impossible.”Rutkowska also considers herself fortunate. After studying abroad and holding a postdoctoral position, she returned to Poland, where her pay was supported through an NCN-funded project linked to the Marie Skłodowska-Curie Actions. “This also made me very aware that good research conditions in Poland often depend on external competitive funding rather than on stable support from the system itself,” she said.Long-term strategyBeyond the lack of funds for both salaries and grants, scientists believe that the issue is structural. “The biggest problem at the moment is the complete lack of a clear long-term strategy for the development of science and research from the current government,” Marzec said. “Everything ends with declarations and promises that are never truly followed by concrete actions or structural reforms.”Rutkowska agreed, citing a lack of infrastructure, continuity and long-term institutional support.“Running a research group in Poland often means functioning as an entire institution at once,” she said. “I am a principal investigator, a mentor, a recruiter, a project administrator and, when needed, still someone who returns to the lab bench to help with experiments,” she went on. “This creates a large hidden workload that takes time and energy away from actual science. At times, it feels as though scientists are no longer expecting extra help; we simply hope the system will stop creating additional obstacles that make research unnecessarily difficult.”Related articlesStrategic thinking: Germany funds joint research with Poland and FrancePoland to transfer €30M of regional funds to boost Horizon Europe participationPoland is funding fewer basic research grants as high inflation hitsIn short, “academics are expected to teach, publish papers, apply for grants and conduct high-quality research, while funding and salaries remain very limited,” said Uryga-Bugajska, who returned to her home country after 13 years in the UK.According to Marzec, another issue is the way that research institutions are evaluated. Previously, this took place every four years, with a clear differentiation between stronger and weaker institutions. “The current government, perhaps to avoid political backlash, effectively concluded that everyone is doing well, so in practice no meaningful evaluation took place,” she said.But in her view, “some form of serious assessment is necessary” to ensure the excellence and international competitiveness of Polish institutions, and to determine how to best use public resources and where institutional structures need reform. “Some institutions may need to rethink hiring practices in order to attract ambitious young researchers who are capable of obtaining competitive grants and building internationally visible research groups.” Rutkowska has already had to adapt. “When hiring PhD students, I often have to combine different funding sources creatively to make positions attractive enough for talented people to stay in science,” she said. “Many young researchers do not see a stable future in academia in Poland, and that is deeply worrying.”
UT Health Tyler Receives ACC Chest Pain PCI Accreditation
Tyler, Texas (May 13, 2026) — The American College of Cardiology has recognized UT Health Tyler for its expertise and commitment in treating patients experiencing heart attack symptoms, awarding the hospital its prestigious Chest Pain PCI Accreditation. UT Health Tyler earned the accreditation after a rigorous onsite evaluation of the staff’s ability to quickly evaluate, […]
Advancing high-threat pathogen preparedness in WHO South-East Asia Region: 2025 in review
Effective preparedness for high-threat pathogens demands more than technical tools — it requires a coherent strategy, sustained country engagement, and the institutional infrastructure to translate evidence into action. In 2025, the Pandemic and Epidemic Management (PEM) Unit advanced all three, working across the full spectrum of high threat pathogen (HTP) preparedness: from methodology development and evidence generation to country-level technical support, emergency response, and regional workforce strengthening.At the core of the PEM unit's work is building the regional evidence and policy architecture needed to prioritize and respond to HTPs systematically. A major milestone was the development of the HTP Prioritization Methodology — a structured, multi-criteria approach to ranking pathogens by epidemic potential, severity, and national context — and its national pilot in Bangladesh, where SARS-CoV-2, Nipah, dengue, and cholera emerged as the highest-priority threats, informing the PEM unit's contribution to 2026–27 biennium prioritization and workplan development (Access link here).Underpinning this work, the PEM unit advanced the peer-reviewed evidence base for HTP preparedness in the South-East Asia Region (SEAR), with three publications in international journals in 2025: Development of a zoonotic influenza distribution assessment and ranking system (ZIDAR): Technical application in Nepal to support cross-sectoral risk-based surveillance in One Health; Implications for influenza A virus surveillance in Southeast Asian Region countries: a scoping review of approaches for the surveillance of swine influenza viruses at human-swine interfaces in BMJ Public Health; and Operationalizing multisector partnerships: a Theory of Action and Reflection tool for zoonotic influenzas in Health Policy and Planning. Together, these contributions move the Region’s HTP preparedness agenda from practice to science — generating the transferable methodological foundations that will inform evidence-based capacity strengthening in Member States.Country-level engagement in 2025 reflected the breadth of contexts in which HTP preparedness must function. Technical support was provided for Mpox and cholera events across the Region, including coordination of cholera and acute watery diarrhea prevention and control in Myanmar in the wake of the March 2025 earthquake. In Myanmar, the PEM unit contributed technical leadership to the earthquake emergency response — one of the most complex humanitarian emergencies in the SEAR — as Health Operations and Technical Support lead within the Incident Management Support Team. This included strengthening emergency response planning, supporting operational and after-action reviews, and providing monitoring and evaluation support for both acute and protracted crisis response. The breadth of HTP support provided to emergency operations across the SEAR was documented in the PEM unit’s contribution to the regional report for the Health Security Interface Technical Advisory Group.In Sri Lanka, technical collaboration with the WHO Country Office and the Ministry of Health laid the groundwork for the National Steering Committee's 2026 annual meeting, development of Standard Operating Procedures for specialized emergency response, and a national training programme — all structured around evidence-based risk assessment for specialized hazards including HTPs.Across the SEAR, the unit contributed to strengthening the workforce architecture that underpins HTP response. Technical inputs shaped the WHO South-East Asia Regional Health Emergency Workforce Strategy 2025–2030, and the PEM unit supported conceptual development of the health emergency workforce framework for the Pandemic Fund Round 3 proposal.Alongside this, the unit's sustained engagement on the meningitis agenda culminated in the launch of the Regional Implementation Framework to Defeat Meningitis in South-East Asia by 2030 at the Seventy-eighth Session of the Regional Committee, ensuring the Region's priorities were reflected in the Global Technical Task Force and expanding the unit's HTP engagement beyond outbreak-prone zoonotic pathogens (Regional Implementation Framework to Defeat Meningitis in South-East Asia by 2030).Taken together, 2025 demonstrated that meaningful HTP preparedness is built incrementally — through methodology, engagement, and the steady accumulation of institutional capacity across Member States.Bangladesh piloted the HTP Prioritization Methodology and identified the highest-priority pathogens in the country context (Photo credit: WHO Country Office, Bangladesh).
Legionnaires' disease concerns at East Village housing complex prompts NYC Health Department response
New York City's Department of Health has launched an evaluation of East Village apartment complex after two residents were diagnosed with Legionnaires' disease over the course of a year.
Organizations Around the Country Support EPA’s Science-Based Reassessment of Formaldehyde
ACC applauds EPA’s updated draft risk evaluation, joining a broader and growing chorus of support from organizations across the country
iPhone 19 Pro Prototype in Testing Allegedly Has Quad-Curved Display
Apple is testing an iPhone 19 Pro with a display that curves around all four edges of the device, a leaker out of China has claimed. According to Weibo-based Digital Chat Station, the 2027-generation Pro device, currently at the evaluation stage, has a hole-punch cutout in the display for the front-facing camera, but Face ID is completely hidden under the panel.
Judge orders mental health evaluation for woman accused of attempting to murder Rihanna
A judge paused the prosecution of a woman charged with the attempted murder of Rihanna and sent the case to a mental health court that will determine whether she is competent to stand trial.
Woman accused of shooting Rihanna's Beverly Hills home ordered to mental health evaluation
Judge orders mental health evaluation for the woman charged with the attempted murder of Rihanna
A judge has paused the prosecution of a woman charged with the attempted murder of Rihanna while it is determined whether she is mentally competent to stand trial
Judge orders mental health evaluation for the woman accused of attempting to murder Rihanna
LOS ANGELES (AP) — A judge on Tuesday paused the prosecution of a woman charged with the attempted murder of Rihanna and more than a dozen other felonies and sent the case to a mental health court that will determine whether she is competent to stand trial.
Judge orders mental health evaluation for the woman accused of attempting to murder Rihanna
Judge orders mental health evaluation for woman accused of trying to murder Rihanna
A judge has paused the prosecution of a woman charged with the attempted murder of Rihanna while it is determined whether she is mentally competent to stand trial
Alexander Rossi Taken to Hospital After Crash in Indy 500 Practice
Alexander Rossi was taken to the hospital for evaluation following a brutal crash during Indy 500 practice.
Meet Dr. Claw: The open-source AI assistant revolutionizing the research workflow
Lehigh University researchers have built the first “AI for Science” software tool designed to support the entire project workflow for research scientists. Dr. Claw is an open-source, full-stack AI research assistant that helps users refine ideas, conduct literature reviews, run experiments, draft and review papers, write grant proposals, and build presentations. It eliminates the need to toggle between specialized AI tools—such as deep research agents for source evaluation or code generators for data analysis—by unifying these capabilities within a single interface.
Oregon defense receives glowing evaluations heading into 2026 season
College football analysts think Oregon has four of the 26 most-feared defensive players in the nation. USC needs to do something about that
Opinion: DPW Building Committee Needs to Change How It Conducts Its Business
On Wednesday, May 13, 2026, I drove to downtown Amherst in the middle of the afternoon to attend a meeting of the committee overseeing the construction of the town's new DPW facility — the DPW Building Committee (DPWBC). There was essentially one agenda item: reviewing the evaluation criteria that will be used to select a
Notice of Intent to Award Veterinarian Services RFP | Department of Health Services
The evaluation panel carefully reviewed and analyzed the proposals received in response to the above referenced solicitation. Based upon that review and analysis, we are recommending to the Sonoma County Board of Supervisors that the contract be awarded to Dr. Catherine McKenzie.
Hantavirus outbreak: 2 Georgia residents exposed arrive at Emory University Hospital for evaluation
Two Georgia residents believed to have been exposed to hantavirus arrived in Atlanta on Monday and were taken to Emory University Hospital after being transported through Hartsfield-Jackson Atlanta International Airport, federal health officials confirmed.
Learner spotlight: Vivian’s path to rights based mental health advocacy
For Vivian Anyango Aola, mental health is deeply personal. Growing up she witnessed people around her struggling with emotional distress without access to support, understanding or solutions. Those early experiences laid the foundations for her work today as a mental health advocate at St. Daniel Comboni mission in Nairobi, Kenya.“Mental health is about feelings – something we all experience every day,” Vivian explains. “Ensuring people are supported in those feelings is what drives my work.” Creating safe spaces and challenging stigmaIn her role, Vivian works closely with people living with mental health conditions and psychosocial, intellectual and cognitive disabilities. Through dialogue, listening and shared learning, she helps create safe spaces where people feel seen, heard and respected. However, stigma and discrimination remain significant barriers.“Witnessing stigma only strengthens my resolve to fight for inclusion, acceptance and equal treatment for all,” she says. Vivian enrolled in the WHO ‘QualityRights in Mental Health’ online, self-paced course available on the WHO Academy learning platform to strengthen her knowledge and advocacy skills. The six-module course provides the foundation for challenging stigma and discrimination and for promoting person-centred, rights-based approaches in mental health.“The course gave me a new perspective,” she says. “It showed me how to support people in ways that respect autonomy and promote recovery, rather than focusing only on treatment.”The importance of language and cultureSince its launch, more than 141 000 people have enrolled in the course globally, and it is now available in 17 languages on the learning platform – the highest number of languages of any WHO course. For Vivian, accessibility is key to transforming mental health systems. “Language is a bridge between professionals and communities,” she explains. “When mental health resources are available in local languages, they reduce misunderstanding, build trust and encourage people to seek help. It also empowers health workers to deliver care in ways that are culturally sensitive and relevant.”In a global evaluation of the course, which analysed data from over 3000 learners, attitudes toward people with mental health conditions improved by 22.78% overall after completing the course, with even greater shifts in low- and middle-income countries (29.18%) compared to high-income countries (20.58%)[1].“The course equips participants with the essential knowledge and skills to transform mental health into a more rights-based, inclusive and recovery-oriented system,” explains Vivian. “It reinforces that change is possible. When people understand rights, dignity and recovery, the entire system can begin to shift.”Mental Health, Brain Health and Substance Use[1] Breaking stigma, discrimination and promoting rights: global evaluation of the World Health Organization QualityRights e-training on mental health, recovery and community inclusion
Scientists Question Trust in AI Over Colleagues
The Conversation publishes an article by researchers at the Institute for Basic Science arguing that rapid adoption of AI in laboratories risks eroding scientific culture and human relationships. The article cites **AlphaFold** as an example of an AI tool that dramatically sped protein-structure prediction, and it notes a broader boom in national initiatives to integrate AI into science, per The Conversation. The authors warn that early-career researchers may outsource troubleshooting and critical evaluation to AI, which could weaken independent thinking and collegial critique. Editorial analysis: For practitioners, the piece highlights trade offs between productivity gains and the social practices that sustain reproducible research.
Norman City Council discusses proposed TIF ordinance, Rock Creek Entertainment District
Norman City Council discussed a proposed ordinance that would create an application and evaluation process for proposed tax increment financing, or TIF, districts and the proposed 2026-27 capital improvement program
Anthropic will let its managed agents dream
Anthropic is expanding Managed Agents with dreaming — a scheduled memory process — plus outcomes-based evaluation and multi-agent orchestration now in public beta.
How science is taking tripping mainstream
President Trump recently signed an order to speed up the evaluation of psychedelics to treat the brain. That’s coming after decades of strict prohibition on psychedelic drug use dating back to President Nixon. So how did we go from that to a psychedelic renaissance? A look into a key institution in the world of psychedelic research may give us some clues. This episode, NPR’s brain correspondent Jon Hamilton shares insight from a recent trip. (No pun intended.) Want more psychedelic content? Catch our episode on ketamine therapy here, or learn why some scientists want to take the trip out of psychedelics here. Have other questions about psychedelics and the brain? Let us know by emailing shortwave@npr.org!
Senate Bill Intends to Strengthen the Science Used for TSCA Risk Evaluations
The Sound Science Act (S. 4397), introduced by Senator Pete Ricketts (R-NE) on April 27, 2026, would strengthen the science used for risk reviews and
Missed Sexual Health Assessment May Limit Clinical Insight
New data show strong links between chronic disease, sexual dysfunction, and loneliness, highlighting missed opportunities for holistic patient evaluation.
Fire Damages USF Marine Science Lab; Hazmat Evaluation Planned Overnight
A multiple-alarm structure fire significantly damaged a marine science laboratory, with officials indicating the building is likely a total loss due to extensive water and fire damage. The fire was reported at approximately 5:12 p.m. on Saturday, May 2, 2026. Fire crews reported that the structure was already heavily involved in the attic upon arrival. […]
Brain function evaluations to be part of Marine health records
By September, Marines will be screened for blast exposure and overpressure during their periodic health assessments, a Pentagon official said.
DBE/ACDBE Reevaluation: What Certified Firms Need to Know
The Texas Unified Certification Program is reevaluating every Texas-based Disadvantaged Business Enterprise (DBE) and Airport Concession Disadvantaged Business Enterprise (ACDBE) firm under new federal eligibility criteria. Submissions are open throu
Helping ensure science is at the heart of mindful eating technology design
By combining health research insights with practical design tools, the researchers have developed a rigorous, health research–grounded framework to guide the design and evaluation of digital technologies that support mindful eating.
Ranking every NFL Draft first-round pick: Raiders get top billing; Cardinals' luxurious move drops them down
Value and personal evaluations are taken into account with each first-round pick.
NFL’s custom scouting systems tell the story of the sport’s changing technology
Advanced internal scouting systems can sort massive amounts of information on NFL prospects, organizing evaluations, grades and other data.
NC lawmakers recommend reforms to mental health system, but funding questions loom
House committee calls for jail telehealth evaluations, expanded data collection and other reforms.
Health of US democracy in decline, based on multiple evaluations
Most Americans say democracy in the United States used to be a good example for other countries to follow but has not been in recent years.
Trump officials consider physician, a Fox News regular, for top vaccine post
Houman Hemmati is under consideration to lead the FDA’s Center for Biologics Evaluation and Research. A final decision has not been made.
Regulation Evaluation Portal Open for Small Business Owner Feedback
The Regulation Evaluation Portal allows Texans to submit feedback and make recommendations on areas of possible government overregulation.
MassLive: Boston, Springfield land on top 10 list of best cities for STEM professionals
Boston and Springfield were among the "Top 10 best metro areas for STEM professionals" in 2018, according to statistics compiled by WalletHub, a personal finance website. STEM stands for science, technology, engineering and mathematics. Boston was ranked second and Springfield eighth on the list. Worcester came in at 18th. The full results can be found here. "We made another good list," Springfield Mayor Domenic Sarno said. "Glad to see our educational and workforce development are starting to pay off - this is all about a good four-letter word - jobs!" The 100 largest metropolitan areas in the country were ranked in 17 key metrics, WalletHub said. The evaluation ranged from "per-capita job openings for STEM graduates to annual median growth for STEM jobs, to projected demand for STEM workers by 2020," according to the summary. Seattle was top-rated, followed in order by Boston; Pittsburgh; Austin, Texas; Minneapolis; Madison, Wisconsin; Salt Lake City; Springfield; Chicago; and Atlanta. Original article: https://www.masslive.com/news/index.ssf/2018/11/springfield_makes_top_10_natio.html
CDC pauses dozens of types of lab testing during evaluation and in wake of downsizing
The federal government’s disease-tracking agency has paused its diagnostic testing for rabies, monkeypox and a number of other infectious diseases.
Why journals are put on hold in the Web of Science Core Collection – and how research integrity guides the process
Acceptance into Web of Science Core Collection does not guarantee permanent indexing. This blog explains why journals are placed on hold, how journal re‑evaluation and delisting decisions are made, and the role publishers can play in safeguarding research integrity.
Improved Assessment of Health Care Worker Attitudes about Prenatal Alcohol Exposure and Fetal Alcohol Spectrum Disorders May Improve Prevention and Treatment
The authors of a recent study have recommended improvements to commonly used assessments of health care and social service providers’ attitudes about prenatal alcohol exposure and fetal alcohol spectrum disorders. The recommendations follow a thorough evaluation of assessments that had not previously been psychometrically validated and represent a first step toward establishing reliable and valid measures to assess attitudes toward these conditions. More accurately understanding providers’ a
State bill aims to expand access to mental health evaluations. Will it help?
Measure would broaden access to court-ordered assessments and reach people who advocates say are slipping through the cracks
We (Still) Have the Science on Cumulative Impacts
That’s why we need cumulative impacts policies, which require the evaluation of multiple stressors and burdens so the decisions that get made are more comprehensive, effective, and equitable.
Scoop: AI evaluation startup Qualified Health raising roughly $100M Series A
The funding would come as a gold rush in health care AI ushers in demand for better ways to implement and evaluate the tools.
AOiA positioned as early leader as CMS elevates digital health evaluation nationwide
CHICAGO, IL — The American Osteopathic Information Association (AOiA) applauds the Centers for Medicare & Medicaid Services (CMS) for launching the Medicare App Library, a new national directory of rigorously evaluated digital health applications for Medicare beneficiaries. The initiative represents a major federal commitment to ensuring that patients have access to safe, evidence‑based digital health … Read More
How to Solve One of the Most Expensive Problems in Employer Healthcare
A small share of employees drives a disproportionate share of employer health-care spending: They are patients whose complex conditions go undiagnosed as they cycle through a fragmented care system. A diagnostic-focused “center of excellence” model—such as the Mayo Clinic Complex Care Program—offers a different approach: coordinated, multidisciplinary evaluations that identify the right diagnosis quickly. Evidence from employer claims shows that earlier, accurate diagnoses can improve outcomes, reduce unnecessary procedures, and lower costs by shifting care from repeated testing toward targeted treatment.
Mental health evaluation ordered for man arrested in Tacoma dealership vandalism
A judge has granted a request for a mental health evaluation for a Tacoma man accused of causing thousands of dollars in damage at two local car dealerships.
Man charged with killing father, stepfather in southern Indiana requests mental health evaluation
In court Friday, Easton Goode was in handcuffs as he walked by his family to face a judge.
Mercy Home Health Locations Named Among Nation’s Best
Three Mercy Home Health locations have been named a Best Home Health Agency for 2026 by U.S. News & World Report. This recognition comes as part of U.S. News’ first-ever evaluation of home health providers, identifying the top-performing agencies in the United States.
Warriors' Steph Curry shares discouraging injury update ahead of re-evaluation
Golden State Warriors star Steph Curry anticipated being out even longer with his right knee injury.
How a top analyst sees Bills player evaluations changing
After scouting for certain traits on defense in the fall, the Bills have changed the scheme.
She showed warnings of a failing behavioral health system in rural AZ. Her crisis turned deadly.
"She was failed by the system as much as society was." As Angela Bouck crossed the center line in a fatal 2025 crash, her history of bipolar disorder & lack of a mental competency evaluation reveals a breakdown in Arizona’s behavioral healthcare system.
EVAH: generating evidence for AI in health | News
The joint Evidence for AI in Health (EVAH) initiative will fund locally led evaluations to ensure AI tools for health are effective in low- and middle-income countries.
According to science, the most efficient and economical heating system is… - Futura-Sciences
In 2015, the Paris Agreement set a goal to reduce global temperatures by 2°C compared to pre-industrial levels. This called for a reevaluation of fossil fuel combustion and its environmental impact. A thorough comparative study Researchers from the Technical University of Munich conducted a comparative analysis of 13 heating systems,...
A scoping review of silent trials for medical artificial intelligence
Nature Health - This scoping review examines previous experience in performing silent evaluations of clinical AI applications, collecting evidence from 75 studies on implementation features and the...
NYC Health + Hospitals/Carter Offers New Test to Diagnose Swallowing Disorder - NYC Health + Hospitals
New York, NY — Today, NYC Health + Hospitals/Carter announced it will offer Flexible Endoscopic Evaluation of Swallowing (FEES) to diagnose dysphagia, a
cbdMD Strengthens Regulatory Science Platform to Support Emerging Regulatory Cannabinoid Evaluation Pathways
cbdMD, Inc. (NYSE American: YCBD), a leading innovator in hemp-derived wellness products, today announced a strategic initiative to integrate and expand its regulatory science, safety, and intellectual property assets to establish a differentiated cannabinoid compliance and evidence platform aligned with evolving federal healthcare evaluation frameworks, including emerging CMS and CMMI innovation initiatives.
iPhone 18 Pro Could Feature Teleconverter Alongside Variable Aperture
Apple's rumored new variable aperture camera system for this year's iPhone 18 Pro models has reached the sampling stage, according to a new claim from a Chinese leaker. Posting on Weibo today, the account known as "Smart Pikachu" said the feature had entered late-stage engineering samples, while a teleconverter is also "under evaluation" for the device. The iPhone 18 Pro and iPhone 18 Pro Max are expected to launch in September 2026.
State identifies 114-acre site in west Laurel for new forensic mental health facility
The initial draft plans show a 32-bed facility will be built. It will serve those currently in the justice system who are waiting for a mental health evaluation to see if they are fit to stand trial.
Curt Cignetti's unique blueprint behind Indiana's rapid rise has everyone taking notes
Indiana's rise isn't about stars or spending sprees. It's about experience, evaluation and a transfer portal blueprint that has turned the Hoosiers into the national title favorite
Ellipsis Health expands access to Sage via Salesforce AppExchange, Transforming Care Management at Scale
Agentforce Health users can now automate patient assessments, risk evaluations, and follow-up using Sage, an autonomous, empathetic AI care managerSAN FRANCISCO, Jan. 12, 2026 (GLOBE NEWSWIRE) -- Ellipsis Health today announced it has launched Sage on Salesforce AppExchange, the leading enterprise marketplace for partner apps and experts. This integration empowers Agentforce Health customer care management teams to autonomously deliver any configured assessment, such as post-hospital discharge/t
Illinois deputies bear-sprayed during mental health call in Lake County
A man is expected to face charges after allegedly bear-spraying Lake County deputies who were trying to take him in for a psychiatric evaluation Monday morning in suburban Libertyville.
Steph Curry drops harsh-but-honest assessment of Warriors vs. Kings rivalry after blowout win
Warriors star Steph Curry delivered a harsh evaluation of Golden State's "rivalry" with the Sacramento Kings.
Mental health evaluation for Apalachee High School shooting suspect due in February
The mental health evaluation for Apalachee High School shooting suspect Colt Gray is expected to be finished in February, potentially deciding his trial eligibility.
Evaluation of WHO’s coordination in health emergencies helps guide humanitarian reforms
The recent evaluation of the Global Health Cluster sheds new light on how WHO, in its unique role as the Inter-Agency Standing Committee (IASC) Cluster Lead Agency (CLA) for health, coordinates life-saving health responses in humanitarian crises. It highlights how WHO works through partnerships to reach the most vulnerable crisis-affected populations and strengthen collective action in increasingly complex emergencies. Serving both learning and accountability purposes, the evaluation provided timely and actionable recommendations that are helping to strategically position WHO during the ongoing IASC Humanitarian Reset and the broader UN 2.0 reforms, where prioritization and new ways of working are taking shape. The evaluation was conducted between 2024 and 2025, at a time when humanitarian action funding was plummeting by more than 50%, triggering the launch of the IASC Humanitarian Reset. While restructuring and prioritization across the humanitarian landscape were underway, the evaluation, through iterative feedback loops, shared emerging findings that helped identify the most crucial coordination functions needed. This was especially important at a time when humanitarian needs and health risks due to armed conflict and natural hazards were increasing, while the capacity of health partners to support Member States to equitably reach all populations affected by crises and deliver response was at risk. The evaluation found that the Global Health Cluster (GHC) remains a highly relevant mechanism for strengthening health coordination in crises and has delivered efficiently despite limited resources. It noted strong collaboration with partners and highlighted opportunities to deepen integration within WHO structures and further enhance inter-cluster cooperation. The evaluation also identified areas where greater emphasis on transition planning, national coordination capacity and linkages between humanitarian response and health system strengthening would bring added value. While the GHC has achieved many of its strategic objectives, improvements in monitoring systems would help better demonstrate collective impact. The recommendations will help strengthen the IASC CLA coordination function across WHO, at all levels, and with all partners. It is noted that going forward WHO needs to continue to support capacity to fulfil coordination functions, in line with the IASC Humanitarian Reset whilst ensuring collective prioritization of health cluster action and quality coverage of the health response. The evaluation will help WHO strengthen locally-led action, national ownership and leadership of the sector, and linkages between health system strengthening activities. Additionally, the evaluation evidence will be used to optimize resource mobilization for the GHC and strengthen WHO’s capacity to deliver, plan for and monitor and evaluate results across the Organization. Read the evaluation Global Health Cluster https://healthcluster.who.int/ WHO’s work in health emergencies https://www.who.int/emergencies/overview
Thirty Years of Onion Politics: Bosnia and Herzegovina on the 30th anniversary of the Dayton Peace Agreement
The Dayton Peace Agreement ended the Bosnian War, establishing the constitutional framework of Bosnia and Herzegovina. It achieved its immediate aim of ending direct violence, yet ended up creating a state apparatus that obstructs social equality and economic sovereignty. This Spotlight argues that the evaluation of its success must take two problems into account: the cementation of ethnic categories as foundational levels of governance and the resulting failure to address or transform war legacies; and the institutionalized international involvement undermining democratic self-determination.
Kris Brunson Signs With Louisville Football
KRIS BRUNSON – CORNERBACK 247 Composite – 3-Star OFFERS: Virginia, Colorado State, Wake Forest, Virginia Tech, Mississippi State Highlights: Evaluation: Louisville has a lot of holes to fill throughout the roster, with cornerback being a key spot. Brunson is a player with better offers than his recruiting ranking, which shows up on his Hudl. He […]