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Yankees news: What’s going on with Aaron Judge?
No timeline on the Captain; Ben Rice is in a funk; Austin Wells’ season-long struggles continue
Martin County residents keep pressing state officials for funding to reopen hospital
ECU Health has proposed converting Martin General into a Rural Emergency Hospital under a federal designation.
Editorial: Feds find more health care fraud
It shouldn’t be too much to ask that taxpayer-funded social service programs benefit people who actually exist.
Mets drop tough one in series finale
A.J. Ewing nearly had his Mets moment, but a Kyle Schwarber home run ruined the fun on Sunday afternoon.
Being broke costs you 13 IQ points, according to science. Here's the number that changes everything.
CreditNinja reports that saving your first $10,000 unlocks financial stability, improving decision-making and reducing stress, ultimately boosting cognitive function.
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
EXCLUSIVE: Three Candidates Vying For Global Fund Leadership In Contentious Race
As the Global Fund heads into a secretive but highly contentious election of its new Executive Director, the names of three likely US candidates have surfaced - former Global Fund Executive Director Mark Dybul, former Trump appointee William Steiger and a former NYC public health official, Ashwin Vasan.
Healthcare groups clash over proposed California billionaire tax
California voters in November are set to decide if the state's billionaires should face a new tax on their assets in order to fund healthcare programs.
Healthcare groups clash over proposed California billionaire tax
California voters in November are set to decide if the state's billionaires should face a new tax on their assets in order to fund healthcare programs.
'All INdiana Politics'
U.S. Sen. Todd Young has said that a proposed $300 billion payment to Iran would not be funded by American taxpayers, and that any ceasefire with Iran must be contingent on the dismantlement of its nuclear program, while Indiana Senators Young and Banks have split on a housing bill now awaiting President Trump's signature.
On anniversary of disastrous debate, Biden rallies Democrats at a casino
President Joe Biden spent the second anniversary of his disastrous debate performance at a Maryland casino, giving the keynote speech at an annual fundraiser for Maryland Democrats.
New Captain Jack Sparrow Entertainment Coming to 2026 Mickey's Not So Scary Halloween Party
Halfway to the Holidays is over, which can only mean one thing: Halloween is almost here at Walt Disney World!!! Don't roll your eyes or laugh. This isn't a joke. At least, not a funny
Investment in Israeli health tech startups dove 40% in 2025
Data shows that while the global industry saw a resurgence in private funding, investments in Israeli startups hit a five-year low amid geopolitical uncertainty
Maine targets three initiatives for initial use of federal rural health funds
The Mills administration says it's decided how it will spend nearly half of the $190 million it's received this year through the federal Rural Health Transformation Fund.
Opinion | Trump’s Science Cuts Betray America’s Past Since Lewis and Clark
America has funded scientific research since 1804 — and remembers that first project as a national glory. Cutting similar funding today is a betrayal.
SG Americas Securities LLC Has $8.39 Million Holdings in Flutter Entertainment PLC $FLUT
SG Americas Securities LLC lessened its holdings in Flutter Entertainment PLC (NYSE:FLUT - Free Report) by 85.8% during the first quarter, according to the company in its most recent Form 13F filing with the Securities & Exchange Commission. The fund owned 82,269 shares of the company's stock a
‘AIDS is not over:’ Behind a local group’s awareness campaign for HIV funding
Walk through East Liberty, Bloomfield or other Pittsburgh neighborhoods and you might see flyers with black-and-pink block print and an urgent message:...
Assenagon Asset Management S.A. Decreases Stock Holdings in Live Nation Entertainment, Inc. $LYV
Assenagon Asset Management S.A. lessened its stake in Live Nation Entertainment, Inc. (NYSE:LYV - Free Report) by 77.4% in the 1st quarter, according to the company in its most recent Form 13F filing with the SEC. The fund owned 74,497 shares of the company's stock after selling 254,802 shares duri
Two years after their last debate, Biden jabs at Trump: ‘What a loser’
As he rallied Maryland Democrats at a state party fundraiser Saturday night, former President Joe Biden decried the actions of the man who succeeded him in the White House, painting him as vain and corrupt.
Q&A: Mike Rogers on the Iran deal, weaponization fund, bridge politics
As Democrats beat one another up in a primary, GOP's Mike Rogers says his second bid for Senate is "night and day" over where he stood two years ago
Florence community rallies for local business owner diagnosed with brain tumor, here’s how you can help
The Florence community held a fundraising event for a local business owner who was diagnosed with a brain tumor for the second time.
MINNEAPOLIMEDIA PRESENTS | This Weekend in the Twin Cities – Entertainment Guide: June 26 ~ June 28, 2026 Edition
Twin Cities Pride, Breakaway, Broadway, concerts, festivals and family fun headline one of summer's biggest weekends across Minneapolis and Saint Paul.
The new kings of the news business are in your inbox
Ryan Broderick has watched digital media companies flame out – beholden to a single source of funding or a fickle algorithm.
Scientists Challenge a Fundamental Assumption About Consciousness
A new philosophical study challenges the idea that consciousness requires human-like biology.
Morgan Stanley Raises PT on International Business Machines (IBM) Stock
International Business Machines Corporation (NYSE:IBM) is one of the Best Cloud Computing Stocks to Buy According to Hedge Funds. On June 23, Morgan Stanley lifted its price objective on the company’s stock to $267 from $225, and maintained an “Equal Weight” rating on the shares. As per the analyst, Dell and HPE earnings demonstrate that the enterprise server demand […]
See the fun at the 2026 Boone County Fair
See Kentucky residents embrace the rainy weather at the 2026 Boone County Fair. The fair also included a monster truck show.
Usha Vance pokes fun at ‘political significance’ of maternity dress
Second lady Usha Vance poked fun at a New York Times article examining the public image of pregnant women in President Trump’s orbit, joking that she did not realize her maternity dress carried so …
Scientists finally explain why these wild boars stay more radioactive than Chernobyl's wolves - Futura-Sciences
What explains this surprising finding? The answer appears to be a complex mix of history, ecology, and diet. Bavaria’s wild boars mainly feed on underground fungi that absorbed radioactive fallout from both the notorious Chernobyl disaster and Cold War-era nuclear testing. Unlike wolves, which sit higher on the food chain...
A lack of funding, a glut of stigma: How Ohio LGBTQ+ health outcomes are impacted
Being able to access healthcare in general is a struggle for LGBTQ+ individuals, and with legislation in Ohio and elsewhere that banned gender-affirming care for minors, for example, a need for healthcare can often clash with the hesitation to seek help.
Trump admin rule puts reproductive health care for 160K Pa. patients at risk, lawsuit says
A lawsuit says family planning and health organizations in Pennsylvania could face federal funding delays or denials due to a new Trump administration policy.
Arts & Entertainment Calendar
Events coming up in the Greenville area offer music, arts, theater and family fun. Here is a sampling.
California health insurance tax hike: Will your premiums increase?
A balance act: To help fund the safety net, lawmakers have voted through a health tax extension that could increase premium costs for Californians with private insurance.
City of Covington awards final round of fiscal year 2026 Small Business Incentive program funding
The City of Covington continues its commitment to supporting entrepreneurs, revitalizing commercial corridors, and strengthening neighborhood business districts through the Covington Small Business Incentive Program. The Covington Board of Commissioners has approved the fourth and final round of Fiscal Year 2026 Small Business Incentive Program funding, awarding $28,000 to support four projects across the city....
Siekerka on Spadea: Climate Superfund Another Strike at NJ Business Climate
Appearing on Bill Spadea’s new show, Speak for America, on ONNJ, NJBIA President and CEO Michele Siekerka said it’s difficult to determine whether the
National Science Foundation finds no violations in Texas A&M research security contract
U.S. Rep. John Moolenaar, a Michigan Republican who chairs the House of Representatives' select committee on China, had urged the NSF to pause funding for a project known as SECURE.
Burglars steal from Grand Forks business, cancer fundraiser
The owner of An Elegant Affair says burglars stole merchandise, cash and donations collected for an employee battling cancer.
First Bend Block Party draws crowds to Central District
Live music, art, food and fun are taking over Bend’s Central District for the first Bend Block Party. Come down to Second Street near Open Space and check it out before 9 p.m. today!
'The Invite' review: Olivia Wilde's sex comedy is outrageous fun
Seth Rogen, Penélope Cruz, and Edward Norton dazzle as flirty neighbors.
$13 million in federal funding to be distributed across West Michigan clinics
More than $13 million in federal funding will be distributed across West Michigan hospital and clinic systems for research projects and healthcare infrastructure.
How one lawyer built a $1.3 million firm on social media
An entrepreneur shifts from a traditional law firm to an AI-based legal service, gaining $650K funding and achieving $372K in revenue post-launch.
Art Garfunkel shares secret to lasting 38-year marriage: 'I can't live without my wife being in accord'
'Bridge Over Troubled Water' singer Art Garfunkel shares secret to his lasting 38-year marriage with wife Kathryn 'Kim' Luce: 'I can't live without my wife being in accord.'
Civility advocates look for ways to restore 'Iowa Nice' to campaigns, public discourse
A group of former and current officeholders are looking to encourage civility by encouraging civic participation and civil interactions.
Your Social Security benefits could be cut by a quarter in 2032. Here’s what to know
Americans’ Social Security benefits will have to be cut by roughly a quarter in six years due to depleted funds, according to a June 9 report from the Social Security Board of Trustees. That’s months sooner than the group had estimated in 2025.
Past participants are now the leaders of MIT’s dynaMIT Club
The MIT student club dynaMIT teaches STEM principles to local middle school students for free every summer. They use fun, innovative experiments to inspire the next generation of scientists and engineers.
Science Heroes: Digging It at Groton Public Library
Unearth your love for science in this fun and interactive S.T.E.M. show for the whole family. With help from audience volunteers, we’ll conduct exciting experiments about the changing states of […]
The Science Of Speed: How Mizuno’s Nanoalloy Face Changes What’s Possible In Driver Design
Mizuno is the first company to put a functional polymer layer in front of a driver face. The implications go well beyond ball speed. For most of the
Memorial Health Championship in full swing in Springfield
Organizers are also offering additional attractions beyond golf, including food trucks, the Scheels Fan Zone and Family Fun Day on Saturday, which features a superhero theme for children and families.
Federal AI security center measure advanced by House Science
A measure that would put into law a key federal office focused on artificial intelligence advanced Thursday out of the House Science, Space and Technology Committee, as part of a slate of AI-focused and data center bills. The committee advanced the bills on a bipartisan basis, but put off potential changes regarding funding levels for […]
Proposed Changes to Grant Rules Threaten the Future of Research: Scientists Must Act Now!
The Trump administration is seeking to politicize US federal science funding, but collective action can stop this grantpocalypse from happening.
EVA HENRY: Corruption resurfaces in Adams, Arapahoe County politics linked to One Main Street
Corporate dark money groups are funneling millions into eleven different races statewide.
Controversial billionaire tax will appear on November ballot
Proponents of a controversial billionaire tax pledge to making sure it appears on the November ballot to backfill federal healthcare funds.
How to manage public investment in science with balance
Public debt is higher today and growing at a faster rate than before the pandemic in 80% of the world's economies. According to the latest fiscal report from the International Monetary Fund, global public ...
Android 17’s new foldable gaming mode could make flippy phones more fun
A whole half of your screen will be dedicated to touch controls.
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.
Dunleavy vetoes some health and education increases approved by Alaska lawmakers
Alaska Gov. Mike Dunleavy canceled funding increases for a variety of state health and education programs on Wednesday, vetoing a combined $57.8 million in general-purpose money from state budget bills passed by the Legislature.
Trump budget request omits funds for L.A. fire relief, prompting criticism from senators
The omission is the latest strain in a yearlong standoff between California leaders and the Trump administration over federal disaster aid.
Transcription by Ben Lerner wins Orwell prize for political fiction
Judging chair calls Lerner’s novel a ‘funny, brainy and timely’ study of our appetite for technology, while Karen Bartlett wins the nonfiction prize for The Escape from Kabul
Trump’s fixation on election overhaul bill derails GOP agenda on Capitol Hill
A nasty feud over President Donald Trump’s elections overhaul push has further crippled an already-dysfunctional Congress, leaving Republicans unable to move on critical elements of their agenda.
SBA’s Proposed Update to the 8(a) Business Development Program: A New Approach to Social Disadvantage
On June 11, 2026, the Small Business Administration (“SBA”) published a proposed rule that would fundamentally alter how individuals qualify as “socially
Waterloo's Grout Museum District to demolish its Bluedorn Science Imaginarium amid funding changes
This summer, the Grout Museum District is preparing to demolish its former science center, the Bluedorn Science Imaginarium. The decision was made in the face of funding uncertainty stemming from property tax reform in Waterloo.
Bo McCalebb Inducted into the Allstate Sugar Bowl New Orleans Sports Hall of Fame
NEW ORLEANS — Former University of New Orleans All-American guard Bo McCalebb reiterated how much he loved his time on the Lakefront as he was inducted into the Allstate Sugar Bowl's New Orleans Sports Hall of Fame on Wednesday night.
The Overlooked Reason ‘Destiny 2’ Is So Fantastically Fun Right Now
Destiny 2 is in an amazing state right now, which is unfortunately right at the end of the game. I think one thing deserves a good amount of credit.
New Enhanced Services Pilot Brings Home Health Aides to New Yorkers in Their New Homes
New York, NY – NYC Health + Hospitals’ Housing for Health initiative today announced Bridge to Care, a pilot program funded by The Leona M. and Harry B.
Yoga, Vinyl & Family Fun: Free Summer Entertainment Returns to Hudson Yards
NEW YORK CITY (PIX11) — Hudson Yards Turns Into NYC’s Outdoor Playground This Summer.
Ohio State–led team secures NSF award to advance to next phase of the National Quantum Virtual Laboratory program
The Ohio State University is strengthening its growing prominence in quantum science, technology, and education with a $4 million, two‑year Phase II design award from the U.S. National Science Foundation (NSF) to advance a national effort focused on next‑generation quantum sensing.The funding is helping to bring together top researchers and ...
CVS Health Foundation invests $1 million in Rhode Island nonprofits tackling community health needs
/PRNewswire/ -- The CVS Health Foundation is investing $1 million in grants through its Hometown Fund to 20 organizations that are making a difference for...
How should European scientists respond to the US AI kill switch?
Earlier in June, Europe’s worst fears of technological dependence were confirmed when the White House ordered the AI firm Anthropic to stop non-US citizens using its leading models. This kill-switch moment crystalised anxieties in Brussels that the continent, lagging the US on the creation of leading-edge AI models, is now a technological of vassal of Washington. The shock has specific implications for European scientists and universities. Some governments are now worried that with AI being integrated into labs, Donald Trump now has his finger hovering over an off switch for European science. “Having restrictions on this tool, it can have an impact on our own research,” said France’s research minister, Philippe Baptiste, at the VivaTech conference in Paris on June 18.Baptiste, himself a former academic, said that colleagues in mathematics had recently warned him they were now cut off from leading-edge US models, risking their work. “This model is not available anymore now because of the US restriction, and for the first time this had an impact on mathematics,” a field where large language models (LLMs) are making a significant contribution, said Baptiste. So, should European scientists avoid relying on US models in the future? Or would this be a self-harming overreaction? And how is AI being used in science, anyway? What happened?On June 12, it emerged that Washington, citing cybersecurity concerns, had ordered Anthropic to stop non-US citizens using two models: Claude Mythos 5, and Claude Fable 5, a version of Mythos but with guardrails to prevent abuse. Anthropic said Washington’s concerns were overblown. But forced to follow the order, yet with no way to check who was using the models, the company suddenly shut down access for everyone, US citizens included. There’s still no agreement on how to restore broad access. But last week, Bloomberg reported that select US companies, and the US government, still had access to Mythos despite the ban, but the EU’s cybersecurity agency Enisa had been shut out. Class division of researchersIn the longer term, access outside the US should be restored, said Marcel Salathé, co-director of the AI centre at the Federal Polytechnic School of Lausanne (EPFL), because a permanent restriction would be financially ruinous to US AI firms. “Even Trump will eventually budge to economic pressure,” he said.However, US AI firms might end up operating rather like banks, doing due diligence on users of their leading-edge AI models, he went on.European scientists are unlikely to fall foul of such checks, he said. But having a Chinese postgraduate in their lab, or doing a type of research the US disapproved of, could potentially result in access being denied. “It will create a sort of class division of researchers,” he said. More than frontier modelsHowever, successfully deploying AI in science is about far more than just having access to leading LLMs such as Mythos.Instead, many science-specific tools, most famously Alphafold, which predicts protein folding structures, require “far less” computing power to train than frontier models, well within the capabilities of European supercomputers, according to a recent analysis by the Arq Foundation, a Brussel-based AI think tank. Instead, tools such as Alphafold are possible because certain fields, like protein folding, weather prediction or astronomy, have large, clean, standardised datasets that can be used to train predictive models. Rather than compute, “data is the central constraint for AI for science,” the report says. For example, a less powerful physics model trained on CERN’s data “will be more valuable than the best model without certain data,” said Bengüsu Özcan, author of the report. European advantage?Europe could therefore steal a march by using its scientific data and infrastructure to create models US digital giants cannot. “They might actually match or go even beyond what these big [US] companies are doing,” said Özcan.Indeed, some European start-ups hope to create automated testing labs to create the kind of standardised data that could speed up the discovery of new materials. Materials scientists say there’s currently too little data to train models. AI scientistsHowever, even if the bottleneck for AI in science is often data, rather than compute, being at the mercy of the US for LLM access could still become a problem for European scientists. A new class of “AI scientists” based on leading LLMs is also emerging, Özcan’s report says.Unlike domain-specific tools like Alphafold, these try to automate day-to-day scientific work, by providing an overarching tool that coordinates specific models to synthesise existing literature, generate hypotheses or run analysis of data. The problem for Europe, however, is that these tools are sometimes based on US leading models. Google Deepmind’s AI Co-Scientist, for example, is built on Google’s Gemini LLM. Systematic failureThese scientific automation tools are still in their early stages, and still exhibit “systematic failures on scientific tasks,” Özcan’s report says. One of the problems is that the messy, day-to-day process of scientific discovery is largely not documented, meaning LLMs don’t have a good source of data to learn how scientists actually work. Meanwhile, some tasks, such as literature synthesis, don’t typically require access to leading edge models.However, the performance of AI scientific assistants could improve as companies such as Google pour resources into developing them. Rely on US“Unfortunately, for scientific assistants, there is not much we can do right now except rely on US frontier AI,” said Antoine Bosselut, a natural language processing expert based at EPFL. Chinese-built open models, which can run on local computers, lessening the risk of a shutdown, are touted as one alternative to US dependence. There’s also Mistral, once seen as Europe’s main AI hope, but the Paris-based company has seen its recent models fall behind in performance. But the Chinese alternatives are generally not as capable as US frontier AI models, said Bosselut, unless paired with fiddly, custom tools that allows them to act as independent agents. “Most scientists do not have the time,” he said. Don’t jump ship yetAlthough the kill switch moment is seen a warning shot for European scientists, it doesn’t mean labs should abandon US AI tools immediately. “I do not think the right response is simply to abandon US-based models and systems under the banner of sovereignty or independence,” said Mattias Björnmalm, secretary general of the Cesaer university association. “That would be an overreaction.”Related articlesEuropean sovereignty in AI requires ‘ugly trade-offs,’ say experts Robotic lab start-up makes case for €500M EU-funded materials testing facilityAI in science: is it useful? Instead, European researchers need to ask themselves whether they’re becoming dependent on technology that could be turned off in Washington, said Özcan. “They might not see this today, but they should really start asking this question,” she said. European researchers need a plan B, said Salathé. “I would recommend to every researcher, very proactively explore alternatives.”Own toolsIn addition, Björnmalm and others want European research institutions to develop their own scientific AI tools.Instead of signing AI deals with US digital giants, European universities should be using this money to create their own models, which may end up being superior for research, said Sabine Leonelli, an expert on the use of AI in science at the Technical University of Munich. “Universities in Europe seem to be happy to sign commercial contracts with US companies on the assumption [their AI tools] are better,” she said. But US frontier LLMs are typically opaque, and have been developed without independent scientific input, she said. “This is not good enough for science.”Last year, Swiss researchers released Apertus, an LLM designed to be completely transparent, from its development methods to its training data. The idea is that this makes scientific tools built on top of the model far more reproducible than with closed, commercial alternatives.“Europe needs more of this: serious capacity-building that gives researchers, universities and companies credible options,” said Björnmalm.
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