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Gemini begins rolling out for existing Android Automotive vehicles
Some months after its confirmation, Gemini for Android Automotive appears to be finally rolling out to existing vehicles.
CORUS ENTERTAINMENT ANNOUNCES FISCAL 2026 THIRD QUARTER RESULTS
CorusEntertainmentInc. (TSX: CJR.B) announced its third quarter financial results today.
Enterprise AI spending grows, OpenAI leads, RBC reveals
RBC's latest CIO survey finds no AI token panic, no SaaSpocalypse, and surging enterprise AI spending, led by OpenAI.
Scientists find evidence of vast hidden magma systems inside Mars
Researchers from the University of Oxford have uncovered evidence that Mars once hosted enormous, Earth-like magmatic systems deep beneath its surface—despite the planet lacking the plate tectonics long ...
Sweden: European Social Rights Committee calls for an end to Sweden’s two-tier healthcare system
Amnesty International welcomes a landmark decision by the European Committee of Social Rights finding that Sweden breached the right to health without discrimination.
Fitbit Air's first update is already rolling out, and it could finally fix its biggest annoyance
Google has started rolling out the Fitbit Air's first firmware update since launch. This update promises bug fixes and improvements.
UK food and drink exports fall as US tariffs and Brexit trade friction bites
Rolling coverage of the latest economic and financial news
The Business of Beauty Global Forum: Beauty’s New Future
Tom Hale, Violette Serrat, Dr. Fatima Cody Stanford and more explored what the future of beauty will look like, and who will shape it, in the final session of The Business of Beauty Global Forum 2026.
Elliot Cadeau appears set to return to Michigan basketball roster
For the third and presumably final time this offseason, Elliot Cadeau appears to have confirmed he will stay with Michigan basketball.
Shohei Ohtani Earns Three Nominations for 2026 ESPYS
Shohei Ohtani of the Los Angeles Dodgers has redefined what a two-way player can look like in the modern era of baseball. Ohtani is coming off a 2025 season in which he won his fourth MVP and second straight World Series championship. On Thursday, ESPN announced the nominations for the 2026 ESPYS awards.
NBA fans troll Victor Wembanyama after MVP chants in France
Victor Wembanyama is back in France after leading the San Antonio Spurs to the NBA Finals. While his team failed to win the championship, he still received a lot of love from his countrymen. The 7-foot-4 center entered a club…
USA vs. Türkiye score, live updates: USMNT finishes group play before knockout match with Bosnia and Herzegovina
👀 Brazil learn first World Cup knockout opponents
The Brazil National Team already knows who it will face in the FIFA World Cup Round of 32.Vini Jr., Matheus Cunha & Co. will take on Japan in their first knockout match of the World Cup. Japan finish...
World Cup 2026: Christian Pulisic won't start for USMNT's group stage finale against Türkiye
It's Summer Sale Season, So I Tracked Down 25 Actually Good Gaming Deals Under $20
There's a million sales happening right now, so I sifted through them all to find 25 genuinely solid gaming deals that are each under $20.
Vice President JD Vance talks faith and politics in Orange County
Vance largely talked about his grandmother’s influence at the sold-out event, which came on the heels of his new memoir, “Communion: Finding My Way Back to Faith.”
Behavioral Healthcare Close to Home: SRMC Services Available in Sandoval County
Sandoval County spans more than 3,000 square miles with a population of 160,000 residents. As one of New Mexico’s fastest growing counties, it’s crucial the people who live there have access to high quality healthcare, including behavioral health...
2026 World Cup Is Putting FIFA’s Rules on Political Neutrality to the Test
The World Cup is in full swing across North America, and the U.S. men’s team faces Turkey in its final group round appearance on Thursday. But behind the cheering fans and nail biting matches, FIFA's commitment to political neutrality is put to the test. Marisa sits down with Tariq Panja, global sports correspondent at The New York Times. They dig into the politics behind the games, from restrictions on Iran’s team and President Trump’s unusually close relationship with FIFA president Giann
21ALIVE SPORTS DIGITAL EXCLUSIVE: Loyer to the Clippers, TinCaps find second half success
21Alive Sports Director Andy Newman and Weekend Sports Anchor Nia Hinson catch you up on this week’s sports news.
Neuroimaging utilization in emergency departments has increased year-over-year for a decade
Researchers believe their new data could be used to better inform staffing coverage in modern radiology departments.
Tennessee court temporarily blocks state health officials from sharing undocumented ill children’s information
The “state cannot go forward with the policy” until the judge makes a final decision, said the head of the Tennessee Justice Center.
M5 Ultra Mac Studio Could Launch in 2026 With Up to 768GB of RAM
Despite price increases across the Mac line, Apple is still planning to release a new Mac Studio as soon as this year, reports Bloomberg. Apple plans to introduce a new M5 Ultra chip as the final option in the M5 family before it transitions to the M6, M7, M7 Pro, and M7 Max. The M5 Ultra will come in a new version of the Mac Studio, which hasn't been updated since March 2025.
HOMETOWN ENTERTAINMENT: A pageant finale, concerts, comedy show and New River Day
CONCERTS THIS WEEKEND: Niko Moon plays Friday in Danville and Kathy Mattea performs Sunday in Rocky Mount
Illinois financial adviser charged with operating Ponzi scheme
Prosecutors allege Paaris Kopsaftis of Des Plaines-based Blackwater Assets took more than $150,000 from clients in a Ponzi-like scheme.
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.
Following IAM Union Advocacy, Kansas PERB Orders Count of Timely Cast Ballots in KU Health System Pharmacy Technician Union Election
KANSAS CITY, Kan. — Following weeks of advocacy from the IAM Union, Pharmacy Technicians, elected officials and community supporters, the Kansas Public Employee Relations Board (PERB) has ruled that 37 previously uncounted ballots will be included in the final tally of the recent union representation election involving Pharmacy Technicians at the University of Kansas (KU)
Entrepreneurs pitched business ideas to Yahoo Finance
Yahoo Finance Executive Editor Brian Sozzi is on the hunt for the next big business breakthrough. Check out the absolute best pitches and standout moments from the innovators making waves at Cannes Lions.
Google Finance finally gets a mobile app as AI-powered overhaul leaves beta
It took 20 years, but the Finance app arrives just in time to be packed full of AI.
Scientists find molecular-level evidence for two structures in liquid water
A study published in Nature Physics provides new molecular-level evidence from simulations that liquid water is not a single uniform substance, but a constantly shifting mixture of two distinct microscopic ...
Finding Strength Through Sports While Living with Phenylketonuria
Episode 3 explores how teens with PKU balance the demands and realities of athletics while managing this metabolic condition.
Misericordia University Students Earn Top Honors at Pennsylvania Academy of Science's 101st Annual Meeting
Misericordia University students earned multiple prestigious awards while showcasing undergraduate research at the 101st Annual Meeting of the Pennsylvania Academy of Science (PAS), held this year on the Misericordia University campus—the first time the statewide scientific organization has hosted its annual conference at the university.
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...
REV Entertainment Announces Enhanced 2027 College Baseball Series Slate
REV Entertainment announces the 2027 College Baseball Series, featuring seven tournaments across five locations. Find full team fields, dates, and additional info here!
JD Sports Upgrades Listing to Broaden U.S. Investor Access
Shares of JD Sports in the U.S. now trade on the OTCQX exchange from the Pink Limited Market, broadening its access to deeper capital pools.
New additions, bike trails, dog park open at McDevitt Youth Sports Complex
Visitors to the Charles F. McDevitt Youth Sports Complex in West Boise will find several new amenities now open, including a nature-themed playground, new cycli
Health Care Roundup: Market Talk
Find insight on GSK and Fresenius Medical Care in the latest Market Talks covering the Health Care sector.
Google Finance Is Now Available As A Standalone Android App
Google Finance is a standalone Android app now, with an iOS version on the way.
Google Finance gets a dedicated app for Android
Users will be able to access their watchlists, real-time market data, live financial news, and Google's AI-powered "Key Moments" feature, which explains why stocks moved.
Survey finds Roy Cooper continues to hold double digit lead in N.C. Senate race
A new survey finds former North Carolina governor Roy Cooper leading former Republican National Committee Chair Michael Whatley by double digits in the pivotal Senate race in November.
Sony A7R VI review: A huge speed boost makes this a nearly perfect high-resolution camera
Sony’s A7R VI finally serves up speed and resolution together thanks to the new 67MP stacked sensor.
'The Bear' reheats 'The Pitt's nachos in a baffling Season 5: Review
How does the final course of "The Bear" shape up?
Grand Theft Auto VI available for preorder, sparks controversy
After over a decade of waiting and countless memes, fans of the Grand Theft Auto franchise can finally order the highly anticipated game Grand Theft Auto VI. This comes 13 years after Grand Theft A…
How Elifin is reshaping the commercial real estate playbook
Elifin is leveraging a decade's worth of proprietary commercial real estate data as well as artificial intelligence to reshape how properties are marketed, analyzed and sold. The Baton Rouge-based … Already an INSIDER? Sign in. Already an INSIDER? Sign in
Poor metabolic health can age the brain even in young people, finds new large-scale study
Two people of very different ages can have a similar level of biological aging in their brains. Such an occurrence is possible because aging and metabolic health follow two distinct pathways that influence ...
Myles Garrett's Rise Could Fuel T.J. Watt's Next Steelers Surge
For years, T.J. Watt and Myles Garrett have been linked in one of the NFL's defining player rivalries. Now, with Garrett pulling ahead in recent seasons and Patrick Graham arriving in Pittsburgh, Watt has fresh reasons to respond. For much of their careers, Watt's production far outpaced Garrett's. That changed in 2023 when the Cleveland Browns hired Jim Schwartz as defensive coordinator and Garrett elevated his game to another level.
Semi-communal 'compound houses' in Ghana affect how people participate in political activity
Could the precise architectural form of your residence influence how much you participate in politics? A new study by MIT scholars finds this to be exactly the case—at least in Accra, Ghana, where many ...
Teen Entrepreneurs Develop, Pitch T-Shirt Businesses at Neff College of Business
The RISE Into Business summer enrichment camp brought teams of high school students to campus to explore marketing, finance, accounting and other core business skills.
Samsung’s new budget phone costs $50 more despite downgrades
The Galaxy A27 has a new chip, but worse waterproofing and lower resolution cameras than its predecessor.
Scientists Analyzed the Bones of ‘Skeleton Lake.’ What They Found Made No Sense.
Roopkund Lake sits in a frozen pocket of the Himalayas where hundreds of people died across a millennium. So why did researchers find bones from the island of Crete there?
David P. O'Brien
About five years ago, David P. O'Brien had a comfortable position at Marsh & McLennan Cos., where he held the top post at the financial giant's Louisville, Ky., office. Despite the lofty rank, Mr. O'Brien found himself longing to be at a smaller company that had to work a little harder to land business. That desire led him away from Kentucky five years ago and to Cleveland, where he serves as executive vice president at business insurance agency Oswald Cos. "I left Marsh before it was en vogue," he said, referring to layoffs and defections at Marsh over the course of this year that followed accusations of bid rigging at the big firm. Above all, Mr. O'Brien, 38, wanted to work at a company that relied on its inventiveness, rather than its name, for business. He said he has found that at Oswald. "It causes you to be more creative, to be more resourceful," Mr. O'Brien said. For instance, an Oswald client seeking to do business internationally might be directed to the network of offices abroad run by competitors such as Marsh and Aon Risk Services Inc. "We're going to use whatever access into the market that makes the most sense for our clients," he said. Of course, using such a strategy can be dangerous for Oswald if its client decides to further a business relationship with one of the firms Oswald recommended. "That's the obvious question and why it's nontraditional," he said. "I think if we're good, and if we're bringing value to the client, then there's no risk. I'm not threatened by it." Imaginative business solutions of that type made his career move to Oswald from Marsh worthwhile. "It's very much a challenge," he said. "It helps you keep your edge. I'm all for the competition." John Jacunski, currently vice president and corporate controller at York, Pa., paper company PH Gladfelter Co., met Mr. O'Brien four years ago when Mr. Jacunski was at WCI Steel Inc. in Warren. So impressed was he with Mr. O'Brien's work for WCI that Mr. Jacunski has retained the Oswald executive at PH Gladfelter. "He's a young guy for the position he has, but he's done a great job for us," Mr. Jacunski said. Among his roles at Oswald, Mr. O'Brien leads the firm's client retention efforts and also serves as director of its property and casualty group. "You don't have the same human resources," he said of the job jump to Oswald. "You don't have, obviously, the safety net a big company has." But sometimes, it can be difficult to ascertain individual contributions when working at a big company. "I wanted to be able to see the end results of my work and my efforts," Mr. O'Brien said.
NJ Legislators Push for End to Corporate Money in Politics
NJ Legislators Push for End to Corporate Money in Politics New Legislation Would Redefine “Corporation” Under State Law to Disallow Political Spending SUMMIT, N.J.—Assemblymembers Andrew Macurdy, Chigozie Onyema, and Maureen Rowan today announced a bill that would bring an end to corporate spending on politics in New Jersey. The bill alters the definition of “corporation”[...]
🇺🇸 Y! Sports AM: Why not U.S.?
The USMNT, who play their final group stage match tonight, have given fans reason to believe in their status as contenders.
CU Director of Sports Medicine Dr. Eric McCarty Provides Capitol Hill Briefing on College Athletics Landscape
The University of Colorado's Director of Sports Medicine Dr. Eric McCarty was among a prestigious panel of physicians and coaches leading a briefing on Capit...
FDA-approved drug may finally help immunotherapy defeat rare liver cancer
Researchers found that a rare liver cancer evades immunotherapy by luring immune T cells away from the tumor and trapping them in nearby fibrous tissue. An FDA-approved drug called AMD3100 freed those T cells to attack the cancer, significantly improving the effectiveness of immunotherapy in tumor samples.
Samsung Galaxy A27 5G Brings an Immersive Display and Awesome Intelligence to More Users
Newest addition to the Galaxy A series features an Infinity-O display, combining a seamless viewing experience with reliable performance and intelligent tools for more users
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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