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Intel Expected To Restart Supply Of 10th, 12th, 13th, And 14th Gen Processors In Mainland China
Intel will reportedly focus more on the previous-gen processors to fulfill the current demand in the PC market. Intel is Reportedly Restarting Supply of Last Four Generation of Processors as Motherboard Vendors Ramp Up DDR4 Platform Production Roughly a month ago, we reported that some vendors are now restarting the production of DDR4 platforms, i.e., DDR4-compatible motherboards. This is to ensure the market gets DDR4 motherboards in sufficient quantity, as expensive DDR5 memory has made it unfeasible to build DDR5 systems on a budget. More reports are surfacing confirming the same report, and Intel appears to have prepared accordingly. Related […]
Steelers' Defensive Line Future Hinges on Keeanu Benton Contract Decision
For the first time in what feels like a very long time, the Pittsburgh Steelers are getting second deals done with their draft picks. Joey Porter Jr. is in line for his deal, Darnell Washington got his, and Nick Herbig also cashed in during the 2026 offseason. According to a Steelers insider, the team may leave 2023 second-round pick Keeanu Benton on the outside looking in.
Is Titans' Cam Ward poised to take a step forward in 2026?
CBS Sports ranks Tennessee Titans quarterback Cam Ward as a promising prospect despite his uneven rookie season performance.
Elevance pays CMS $342M to assuage concerns of noncompliance and overbilling
The Medicare Advantage insurer said the payout is equal to what a CMS audit stated was the total amount the company was overpaid for patient care services. Despite receiving the cash, the agency has yet to officially withdraw its enforcement action, as the two parties are still negotiating.
World Of Warcraft Is Finally Fixing Its Stupidest Settings Problem
I do not have time to pick up all of these Rust-Covered Blunderbusses
Meta stock soars as Mark Zuckerberg explores cloud business
Meta shares soared Wednesday on a report that the company is wading into the business of selling cloud computing services and access to AI models.
Maryland-Bred Big Cuddle Joins Haskell Lineup
Pocket 3's Racing’s Big Cuddle will face his stiffest test yet in the $1 million, Grade 1 Haskell Stakes at Monmouth Park on July 18, the Daily Racing Form reports. The Haskell field is expected to draw Preakness winner Napoleon Solo and runner-up Iron Honor, as well as G3 Tampa Bay Derby ...
Alabama target, top cornerback reportedly makes commitment decision
Top cornerback prospect Hayden Stepp has reportedly announced a commitment between Alabama, California, and Oregon.
Penn State's Rocco Becht praises QB2 Alex Manske
Penn State quarterback Alex Manske faces a critical path forward after an injury sidelined his spring development.
A New Leader for USC Mork Family Department of Chemical Engineering and Materials Science - USC Viterbi
Professor Noah Malmstadt, newly appointed chair of the USC Mork Family Department of Chemical Engineering and Materials Science, discusses the energy and manufacturing challenges that connect the disciplines, and why the future of the department is built on firm foundations.
Caleb Williams is wildly respected by his peers
The Bears now have a quarterback who commands respect not only from all opponents, but from NFL greats such as Matthew Stafford
Ocelli Among 29 Indiana Derby Nominations
Nominations are in for the 32nd running of the Grade 3 $300,000 Indiana Derby set to run Saturday, July 11 at Horseshoe Indianapolis. A total of 29 names are on the nomination list headed by third-place finisher Ocelli in this year’s Kentucky Derby. Seven starters from the first leg of the Triple ...
Meta pops 8% as company makes cloud push to sell excess AI compute power capacity
The new business is a welcome signal for some investors who have been uneasy about the company's infrastructure spending plans.
Rhythm Heaven Groove Is a Superb Sequel That Expertly Capitalizes on the Captivating Energy of Its Excellent Music and Joyful Animations
A superb sequel that expertly capitalizes on the captivating energy of its excellent music.
Eagles 2026 most important list: Riq Woolen
Cornerback Riq Woolen takes his place on the list of most important Eagles of 2026.
2027 NFL Draft summer scouting report: Darian Mensah, QB, Miami
Miami transfer quarterback Darian Mensah is next up one the 2027 NFL Draft summer scouting report series.
‘Minions & Monsters’ scores series-best reviews for Illumination’s animated franchise: ‘Weird, willful popular entertainment’
The latest installment drops the Minions down in Old Hollywood with cameos from Harold Lloyd and Charlie Chaplin.
Molecular imaging pioneer Eva Nogales awarded the 2026 Vanderbilt Prize in Biomedical Science
The Vanderbilt Prize in Biomedical Science recognizes scientists who have a stellar record of research accomplishments.
Vanderbilt Health performs nation’s first breast cancer surgery using intraoperative PET-CT scan technology
The novel imaging technology provides surgical teams with a real-time view of tumor margins in the operating room.
Predicting winners for NFL's remaining QB competitions: Who wins starting gigs?
Five NFL teams are set to enter training camp with quarterback competitions lingering. Who will emerge as QB1 in each battle?
The footballer swapping the pitch for the beach
Erin Bloomfield plays and coaches at Sherborne FC, but also represents England on the sand.
Browns QB Shedeur Sanders Gets Bad News on Future
The Cleveland Browns’ quarterback competition remains open heading into training camp, but the momentum appears to be favoring Deshaun Watson, not Shedeur Sanders. The post Browns QB Shedeur Sanders Gets Bad News on Future appeared first on HEAVY.
Mets recall Joey Gerber, option Tobias Myers to Triple-A
The bullpen churn continues as the Mets look for a fresh arm to add to the mix.
Arena, the AI leaderboard everyone uses, is now a $100M business
The startup, which runs a popular free AI leaderboard, launched its commercial service just last September.
Patrick Mahomes Shares Emotional Message Following NFL Legend’s ALS Announcement
Kansas City Chiefs quarterback Patrick Mahomes had four words after unfortunate announcement
Serbia's Vucic eyes new political chapter as he steps down from presidency
When Aleksandar Vucic announced that he will step down as president of Serbia, cutting short his mandate and likely triggering early elections, few believed that he would disappear from politics.
Booming Business: Texas Secures Top Spot for Climate Fourth Year Running
Texas was recognized as the Best Business Climate in the nation for the fourth year in a row by Business Facilities magazine in their 2026 Annual Rankings Report.
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.
My wait for a psychiatric bed in Denver highlights this nation’s overburdened system (Opinion)
Just before my birthday, a Denver doctor placed me on an involuntary 72-hour mental health hold. What came next wasn’t treatment but a drawn-out search for a bed, as the U.S. grapples with a shortage for those in crisis.
Kara Swisher brings her Silicon Valley influence into politics
Kara Swisher is expanding her influence from tech journalism to politics. Swisher is known for her fearless interviews and has hosted figures like Mark Zuckerberg and Elon Musk.
Cognition's CEO says token leaderboards are 'directionally correct'
Cognition CEO Scott Wu said there are better ways to incentivize employees to use AI.
Bears Great Brian Urlacher’s 3-Word Description of Caleb Williams
Chicago Bears great Brian Urlacher gives his honest thoughts and description of quarterback Caleb Williams. The post Bears Great Brian Urlacher’s 3-Word Description of Caleb Williams appeared first on HEAVY.
Jesse Eisenberg opens up about turning down Aaron Sorkin's offer to return for 'Social Network' sequel
Jesse Eisenberg says passing on Aaron Sorkin's offer for him to return as Mark Zuckerberg in 'The Social Network' sequel felt like 'letting down America.'
Baker Mayfield Drops Clear Message on Kyler Murray
As Kyler Murray seeks a fresh start in Minnesota, former teammate Baker Mayfield defends the polarizing quarterback, predicting a dominant resurgence fueled by a much-needed change of scenery.
Patriots Made Wide Receiver Change for Drake Maye
The New England Patriots have made a big change at wide receiver to help franchise quarterback Drake Maye. The post Patriots Made Wide Receiver Change for Drake Maye appeared first on HEAVY.
Stetson Bennett dealing with ‘business side’ of NFL in QB competition with Rams
Former Georgia quarterback Jake Fromm provides perspective on the challenge Stetson Bennett faces competing with Ty Simpson on the Los Angeles Rams.
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
Brain activity under anesthesia challenges what we know about consciousness
The unconscious brain appears to be far more capable than scientists once believed. Researchers found that patients under general anesthesia could still process language at a sophisticated level, distinguishing nouns, verbs, and adjectives while listening to stories. Even more remarkably, neural activity showed signs of predicting upcoming words before they were heard. The results challenge traditional ideas about consciousness and hint at new possibilities for brain-computer interfaces.
Prescott, Parker present Cowboys with an 'iron sharpens iron' dynamic
Cowboys quarterback Dak Prescott has had issues solving two defensive schemes. With Christian Parker in the building, he may finally figure it out.
Kevin O'Leary's latest villain arc: data centers
Kevin O'Leary, the acerbic "Shark Tank" investor, is everywhere trying to sell a skeptical American public on the idea of a data center in their town.
Belkin launches new 14-in-1 Thunderbolt 5 dock with 140W charging and triple 4K display support
Belkin has launched a 14-in-1 Thunderbolt 5 Dock in China priced at 2,299 yuan (approximately $338). The Belkin dock ships with a 180W adapter and 1m cable and delivers 140W USB Power Delivery over a single Thunderbolt 5 connection, with bandwidth scaling from 80Gbps to 120Gbps for high-resolution display use. Belkin briefly listed the dock on its global website at $350 before removing the page, hinting at a global launch.
Red Sox OF Jarren Duran has verbal exchange with fan at Fenway Park during Saturday's game vs. Yankees
Belkin launches new 14-in-1 Thunderbolt 5 dock with 140W PD charging & triple 4K 144Hz display support
Belkin launches a 14-in-1 Thunderbolt 5 dock with 140W PD charging, 120Gbps bandwidth, triple 4K@144Hz display support, and 14 connectivity ports.
Marseille look to retain three players
Get French Football News understands that every player at Olympique de Marseille – bar none – is available for the right price this summer. The club overspent under Roberto De Zerbi and the purse...
Caleb Williams Calls Out NFL, Echoes Bold George Kittle Message
Chicago Bears quarterback Caleb Williams is already a leader of his team, and now he is leading with regards to the entire NFL. The post Caleb Williams Calls Out NFL, Echoes Bold George Kittle Message appeared first on HEAVY.
Apple A20 Pro motherboard leak hints at notable memory and packaging upgrades
A leaked package layout of Apple's A20 Pro hints at several notable upgrades for the iPhone 18 Pro series. The next-gen SoC is said to feature a wider 96-bit memory interface, a redesigned packaging approach for improved thermals, and a larger Neural Processing Unit (NPU).
Browns Warned Over Deshaun Watson Decision
The Cleveland Browns can insist that their quarterback competition between Deshaun Watson and Shedeur Sanders will be decided on the field, but the decision will not be made in a vacuum. The post Browns Warned Over Deshaun Watson Decision appeared first on HEAVY.
Steelers’ Drew Allar Addresses Rookie Role Behind Aaron Rodgers
Pittsburgh Steelers quarterback Drew Allar spoke out on his place behind Aaron Rodgers on the team's depth chart entering 2026 NFL training camp. The post Steelers’ Drew Allar Addresses Rookie Role Behind Aaron Rodgers appeared first on HEAVY.
Dolphins Training Camp Primer: Quarterbacks
A look at the Miami Dolphins' quarterbacks and where things may be headed during the 2026 season.
White House mandates move away from overdose prevention in US health programs
Experts say move signals greater political interference into public health and will exacerbate opioid overdose crisis
Supreme Court says Alito’s verbal reaction to Sotomayor was a ‘misunderstanding’ by Alito
The highly unusual exchange between Justice Samuel Alito and Justice Sonia Sotomayor over a dissent read from the bench was based on a “misunderstanding” by the conservative justice, the Supreme Court said Friday.
How PENN’s US$360 Million Aurora Resort Shift At PENN Entertainment (PENN) Has Changed Its Investment Story
PENN Entertainment has opened the US$360 million Hollywood Casino and Hotel Aurora, replacing its former Fox River riverboat with a 388,500-square-foot, 24/7 land-based resort featuring over 1,000 slots, 50 table games, a sportsbook, 226-room hotel, spa, event center, and extensive dining options. The Aurora project, which created around 700 permanent roles and mirrors PENN’s broader shift into higher-amenity land-based properties, highlights how the company is reinvesting heavily to refresh...
5 free agent cornerback options for the Detroit Lions
Five cornerback additions the Detroit Lions should consider after Terrion Arnold’s arrest.
Who are Texas A&M's All-Time Quarterback recruits?
According to 247Sports, here are the top 10 ranked Texas A&M quarterbacks recruits in program history.
Trump Mobile Takes The T1 Phone Reservation Holders For A Ride, Opens Sales To The Public Without Clearing The Backlog
Those who paid Trump Mobile a $100 deposit to gain early access to the T1 Phone suddenly find themselves at the back of the proverbial queue.
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)
Fed Rule Effectively Puts Automaker Polestar Out Of Business In The U.S.
Volvo’s upscale electrified division pulls the proverbial plug on future U.S. sales because of its ties to China.
Extreme heat and health: Policy guide reveals what communities need to know
Blistering temperatures exacerbated by high humidity are not just uncomfortable but dangerous. Across Canada, and in communities throughout southwestern Ontario, rising temperatures are affecting people's ...
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.
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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