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Carolina’s School of Data and Information Sciences launches
In a campus message, Executive Vice Chancellor and Provost Magnus Egerstedt celebrated the “critical milestone” as the University builds on strengths in information, library and data sciences
How Investors May Respond To PENN Entertainment (PENN) Aurora Casino Opening And Russell 2000 Shift
PENN Entertainment recently celebrated the grand opening of its new US$360 million Hollywood Casino and Hotel Aurora in Illinois, while also being moved from the Russell 1000 family of indices into the Russell 2000, Russell 2000 Value, and Russell 2000 Dynamic indices as part of the latest rebalancing. This combination of a large-scale brick-and-mortar investment and a shift toward small-cap and value-oriented index inclusion reshapes how both fundamental and index-tracking investors may...
FSU Jim Moran Institute celebrates completion of entrepreneurship bootcamp for veterans' families
Florida State University’s Jim Moran Institute for Global Entrepreneurship (JMI) celebrated the successful completion of its 2026 Entrepreneurship
Washington County Quorum Court OKs business permits for HS Studios, Fox Hunter Landing
FAYETTEVILLE -- Washington County's justices of the peace on Tuesday approved a pair of permits for businesses seeking permission to operate in unincorporated areas of the county.
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.
Bailey campaign embraces artificial intelligence in new era of politics
State lawmakers consider requiring campaigns to disclose AI-generated ads
Kathie Lee Gifford admits she 'wanted to die' after misdiagnosis and multiple surgeries for chronic pain
Kathie Lee Gifford reveals she was misdiagnosed for a year and treated for a spinal issue before doctors discovered her hip had deteriorated to "ash."
Jazz Under the Stars returns August 6
KCCK's Jazz Under The Stars celebrated the station's 50th anniversary last year by reuniting some of Iowa's best-known jazz, blues and R&B performers. Iowa's Jazz Station kicks off its second
5 things to do this week in Greenville
See our curated list of upcoming and ongoing arts, culture and entertainment events in the Greenville area. Send us your events at greenville@postandcourier.com.
N.I.H. Announces World’s Largest Integrated Health Database
It contains more than half a million people’s genomes, paired with clinical records and wearable tech data. That gives researchers unmatched power to study both diseases and treatments.
Conduent Announces Agreement to Sell Its Tolling Business to Quarterhill Inc. for $70 Million
FLORHAM PARK, N.J., June 30, 2026 — Conduent Incorporated (Nasdaq: CNDT), a global technology-driven business solutions and services provider, today announced that it has entered into a definitive agreement to sell its Tolling business (a division of...
Contributor: Mental health care isn't ready for psychedelic side effects
Accelerated FDA approval will invite recklessness. But don't block these important medications. Take steps to prepare.
Editorial: Chicago separated its mental health emergency response from public safety. Bad idea.
Johnson’s redesign moved CARE toward a stand-alone public health response rather than an integrated public safety partnership.
Trump posts apparent AI-generated image of large, golden eagle affixed to Truman Balcony
President Donald Trump Monday evening posted what appeared to be an AI-generated image of a large, golden eagle affixed to the Truman Balcony of the White House.
Republic bakery owner loses home and business in weekend fire
A bakery and boutique that had operated in Republic for nearly three decades was destroyed by fire over the weekend, leaving its owner without her business or her home.
How to spot an AI-generated face, according to science
Training people to pay attention to the right visual cues nearly doubled how accurately they could spot AI-generated faces
Frustrated French Quarter business owners file lawsuit: 'The Decatur project is chaotic'
"Contractors have abandoned work on some portions of this project to work on other blocks; work has been inexplicably delayed at other locations. Completion deadlines have been missed and extended."
The most underrated business discipline is hospitality
How a hotel candle reminds this CEO that AI is important, but so is being human in the business environment.
Hood College Launches Accelerated One-Year Master of Science in Environmental Biology Track
Beginning in Fall 2026, Hood College's Graduate School will offer a new accelerated, 30-credit track within its Master of Science in Environmental Biology program, providing students with a pathway to earn their degree in just one academic year while gaining valuable hands-on research experience.
TIDAL cracks down on AI music by cutting off monetization
TIDAL's new policy will prevent AI-generated music from making money on its service.
How six venture capital giants are reshaping startup financing
The venture capital landscape is becoming increasingly concentrated, with six megafirms— Andreessen Horowitz, Sequoia Capital, Thrive Capital, Lightspeed Venture Partners, Founders Fund and General Catalyst—now raising more capital than all other U.S. venture firms combined over the past two years, Inc. reports. Their growth has been fueled by the enormous capital requirements of AI startups, […]
Nancy Pelosi to establish new democracy institute at UC-Berkeley
The former House speaker is preparing to leave Congress after a nearly four-decade decorated career.
Leaked A20 Pro Image Hints at iPhone 18 Pro Performance Gains
An alleged image of the iPhone 18 Pro motherboard has leaked online, showing the A20 Pro chip will use a new packaging technology that should offer notable performance gains over the previous model. The leaked image, which has been shared by the accounts "WHYLAB" and "Ice Universe" on Weibo, appears to show the A20 Pro chip integrated into TSMC's new packaging architecture, known as Wafer-Level Multi-Chip Module (WMCM) technology.
Dario Announces Strategic Collaboration with Beluga Health to Deliver Provider-Backed, Integrated Care at Scale
/PRNewswire/ -- DarioHealth Corp. (NASDAQ: DRIO) (the "Company", "DarioHealth" or "Dario"), a leader in AI-powered digital health solutions, today announced it...
Dario Announces Strategic Collaboration with Beluga Health to Deliver Provider-Backed, Integrated Care at Scale
/PRNewswire/ -- DarioHealth Corp. (NASDAQ: DRIO) (the "Company", "DarioHealth" or "Dario"), a leader in AI-powered digital health solutions, today announced it...
AB Science reports completion of the step 3 of phase 1, evaluating the combination of AB8939 with venetoclax for the treatment of refractory or relapsed AML
PRESS RELEASE AB SCIENCE REPORTS COMPLETION OF THE STEP 3 OF PHASE 1, EVALUATING THE COMBINATION OF AB8939 WITH VENETOCLAX FOR THE TREATMENT OF REFRACTORY OR RELAPSED ACUTE MYELOID LEUKEMIA THE COMBINATION OF AB8939 WITH VENETOCLAX GENERATED A 67% OVERALL RESPONSE RATE (ORR) AND A 100% DISEASE CONTROL RATE (DCR), WITH NO DOSE-LIMITING TOXICITIES (DLT) OBSERVED, IN A POOR-PROGNOSIS POPULATION WITH ADVERSE GENETICS TREATED IN THE SECOND - TO FOURTH-LINE RELAPSED OR REFRACTORY SETTING Paris, June 2
Andy Burnham’s meteoric rise tells us much about how politics and power are changing
The former may of Greater Manchester’s rise raises questions about the changing dynamics of political parties and leadership in an accelerated political climate.
Hollywood celebrates Mel Brooks' 100th birthday
Mel Brooks' 100th birthday is being celebrated by friends, fans, and the whole of Hollywood.
Landry Jones, Courtney Frerichs headline 2025 New Mexico Sports Hall of Fame class
ALBUQUERQUE, N.M. (KRQE) – Some of the biggest names in New Mexico sports were celebrated Saturday night as the New Mexico Sports Hall of Fame inducted its Class of 2025. This year’s class r…
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
Entertainment Firms Face AI Copyright Uncertainty
Editorial analysis: For AI and ML practitioners, unclear copyright rules raise the legal risk and compliance cost of using generative models in production content pipelines. According to The Economic Times, Indian entertainment firms are investing heavily in AI for content creation, but current copyright law, which is tied to human creativity, may not clearly protect AI-assisted or AI-generated works. The Economic Times reports lawyers warn that, without specific legislation or case law, such works face risks of duplication and misuse, complicating licensing, attribution, and monetization for studios and creators. The article highlights that creators and rights holders in India currently have limited legal recourse under existing statutes, per The Economic Times.
Falcons Underrated Free Agent Signing Made Significant Impact During Minicamp
The Atlanta Falcons had a very impressive showing from one of their underrated free agent signings.
Sen. Warnock was struck that VP Vance ‘wasted no time telling the Pope how to be the Pope.’
GOP Sen. Tillis on Acting AG Blanche: ‘If there’s even a whiff of a lack of independence, then that could influence my vote’
AI coding agents gain trust as developers skip reviews
AI coding agents like Cursor are increasingly trusted to work autonomously, with a rise in AI-generated code reaching production directly.
Giants' Malik Nabers Concerns May Be Getting out of Hand
The concerns about New York Giants wide receiver Malik Nabers may be slightly exaggerated.
VIA Women’s Health Collective celebrates grand opening
By Megan Dial VIA Women’s Health Collective, 17300 Westfield Blvd., Suite 330, celebrated its grand opening June 18 with the Westfield mayor, Westfield Chamber of Commerce and other community supporters. Dr. Taylor Hahn said she founded VIA Women’s Health Collective to support women in every s
Don't break the tech tools small businesses use to compete
Forcing companies to split up their integrated services would increase costs and headaches for businesses like mine, writes Andrea Ramker.
The 10 highest-rated Georgia Bulldogs in College Football 27
Georgia earns an 87 overall rating in College Football 27 with safety KJ Bolden leading the roster. Gunner Stockton appears not to be in the game
Dave Roberts Gives Update on Rushing’s Future Catching Ohtani
Dodgers manager Dave Roberts elaborated on what the plan is for catcher Dalton Rushing after his rough night with Shohei Ohtani pitching.
AI-generated knockoffs of Joanna Stern’s book keep appearing on Apple Books
In a video published on YouTube Shorts today, Joanna Stern called out Apple over AI-generated knockoffs of her book that continue to appear on Apple Books.
This Week's 10 Must-Read Stories on Women in Politics: Title IX Anniversary, AI's Anti-Women Bias and Ranked-Choice Voting Victories
Weekend Reading on Women’s Representation is a weekly compilation of stories about women’s representation in politics, on boards, in sports and entertainment, in judicial offices and in the private sector in the U.S. and around the world—with a little gardening and goodwill mixed in for refreshment! Published every Friday. —This week marked the 54th anniversary of Title IX. —As the Taliban approaches the five-year mark of its return to power this August, a rare protest in western Afghanistan last week laid bare both the brutality of its rule and the resilience of those living under it. —A woman will replace Eric Swalwell in California … but for not two more months. —A study of 133 AI systems found that 44 percent demonstrated gender bias, and more than a quarter showed both gender and racial bias. ... and more.
Pete Buttigieg was briefly separated from his children after police say he was target of false report
Former Transportation Secretary Pete Buttigieg was the target of an anonymous report that police determined was false and that he says forced him to spend a night away from his four-year-old twins.
The political determinants of health
As a visiting fellow, health equity scholar Daniel Dawes integrated his work on the political determinants of health into Yale School of Nursing’s curriculum
The political determinants of health
As a visiting fellow, health equity scholar Daniel Dawes integrated his work on the political determinants of health into Yale School of Nursing’s curriculum
Old Lord and Taylor building transforms into food and entertainment destination in Midtown
The former Lord and Taylor building has reopened and now offers restaurants, bars and curated eateries.
Standout transfer edge rusher reportedly off team at SEC school
Was rated as 4-star transfer after entering portal
Health experts keep Summerfest attendees healthy
On top of staying hydrated and wearing sunscreen, Aurora Health Care encourages wearing comfortable shoes and clothing.
How to Keep Your Skin Healthy and Hydrated in Summer Months
From sunburns to heat rashes, board-certified Dr. Angela Lamb joins TODAY with solutions for common summer skin problems.
233-acre Franklin farm could become major youth sports complex
A Nashville Predators-operated ice rink and athletic facility could transform historic Franklin property.
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.
Best of Santa Cruz County entertainment, arts & food events this weekend, June 25-28
With the weekend nearly here, check out things to do around Santa Cruz County with a recommendation from Lily Belli and a specially curated list from Lookout's BOLO events calendar.
Breaking down EA Sports' College Football 27 team ratings: who's too high, who's too low?
EA Sports College Football 27 team ratings spark debate, with Georgia, Alabama, and Clemson among teams arguably rated too low for their talent.
Consumer Discretionary Stocks Drawing Institutional Rotation Into Live Entertainment Leaders
With the Federal Reserve hinting at a pause in rate hikes, stubborn inflation still in the background, and several large companies surprising on earnings, consumer discretionary stocks are back in focus for investors weighing risk and opportunity. This article looks at how that mix of easier policy signals, solid corporate reports, and ongoing geopolitical and supply chain issues could affect larger U.S. consumer-focused companies. It will walk through 3 stocks from a curated screener that...
Trump’s politics of emergencies leaves GOP allies scrambling again
In upending plans to sign a bipartisan housing bill, the president illustrated one of his favored tactics: declaring a policy preference to be an emergency.
South Dakota mayoral candidates separated by just two votes in shockingly close race, recount expected
The Sioux Falls mayoral runoff contest shockingly resulted in just a two-vote margin separating the candidates out of more than 36,000 ballots cast.
How Caesars’ Expanded Tribal iGaming and Community Partnership Could Shape Caesars Entertainment (CZR) Investors’ Outlook
In June 2026, Caesars Entertainment Inc. announced that it had expanded its partnership with three Wabanaki Nations in Maine to cover online casino gaming, aiming to launch Caesars Palace Online Casino, Caesars Sportsbook & Casino and Horseshoe Online Casino in 2026, subject to regulatory approval and integrated with Caesars Rewards and a universal digital wallet. A distinctive element of this agreement is Caesars’ commitment to employ and train tribal members while providing financial...
Agentic-Native Platforms Are Creating A New Technology Business Model
For decades, the enterprise technology industry operated on a simple principle: software companies built products, and services firms helped enterprises.
Another look at carrots and eyesight; how to get more fiber; why mosquitoes bite some people and not others; plus other stories with Vanderbilt Health sources
AARP reporter Stacey Colino interviewed Milam Brantley, MD, Associate Professor of Ophthalmology and Visual Sciences, in 2020 for a story about whether eating carrots can improve vision. Sacramento Bee reporter Samantha Agate has now used Brantley’s comments in an AI-curated story created by content specialists on the same topic that has been picked up by MSN and others. Prevention magazine interviewed Heidi Silver, RD, PhD, Founding Director of the Vanderbilt Diet, Body Composition, and Human Metabolism Core, for a story about the importance of fiber and how people can get more of it in their diet. William Schaffner, MD, Professor of Preventive Medicine, was quoted by several news outlets about public health issues, including: Women’s Health (tick bites and alpha-gal syndrome); The Washington Post (tetanus); and Healthline (why mosquitoes prefer to bite some people and leave others alone). A visit to Monroe Carell Jr. Children’s Hospital at Vanderbilt by some Banana Ball baseball players was covered by The Tennessean and WZTV Fox 17 News, and The Tennessean’s story was also picked up by Yahoo! Sports. Clarksville Now published a story written by the Montgomery County Economic Development Team, whointerviewed Bradley Stancombe, MD, professor of Clinical Pediatrics, Vanderbilt Neonatology, about the new energy of Vanderbilt Clarksville Hospital and how the facility is recruiting physicians. Healio Allergy/Asthma group editorial director Richard Gawel interviewed Mark Rolfsen, MD, Clinical Fellow in the Division of Allergy, Pulmonary and Critical Care Medicine, for a story about his presentation at the American Thoracic Society meeting on metal health outcomes following ICU discharge. Nashville Scene reporter Hannah Herner interviewed James Crowe, MD, Director of the Vanderbilt Center for Antibody Therapeutics, for a story about his efforts to prepare for the next pandemic by isolating antibodies that can neutralize dangerous viruses. Medscape reporter Kathleen Doheny interviewed Neesha Choma, Associate Chief of Staff of Vanderbilt University Hospital, for a story about how hospitals can reduce readmissions.
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.
Fed's favored inflation gauge accelerated in May amid energy price shock
The Commerce Department PCE inflation report for May showed the Federal Reserve's favored inflation gauge rose higher amid the energy price shock caused by the Iran war.
Gators among top-20 rated teams in EA Sports College Football 27
EA Sports views Florida as one of the nation's 25-best teams entering the 2026 season, so where exactly did the Gators land in CFB 27 rankings?
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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