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Buccaneers Predicted To Overcome AFC North Hurdle
Winless against the AFC North since 2019, Todd Bowles and the Buccaneers look to shatter a persistent hex as experts predict a breakthrough season against physical rivals.
Borussia Dortmund predicted lineup and team news vs Werder Bremen
Borussia Dortmund take on Werder Bremen in their final Bundesliga match of the season this Saturday.Dortmund have already locked in second place with 70 points from 33 games, while Werder Bremen sit 1...
Cleveland Browns Predicted to Have Losing Record Again in 2026
The Cleveland Browns went 5-12 last season. How will they do in 2026?
Seven years after Biden predicted a GOP ‘epiphany’ over Trump, Democrats are moving on
After they bought into a prophecy that failed to materialize, Democratic voters are now demanding less compromise and more combat against the GOP as they lose hope for a gentler politics.
Top House Democrat vows to go ‘all in’ on 2028 gerrymandering push after Virginia setback
Hakeem Jeffries predicted his party would still win the US House in November despite the GOP’s now-clear advantage in the nationwide redistricting fight.
Rheinmetall Q1 sales jump 8 percent year on year, as naval business era begins with promise
“The technology group’s order books remain at record levels,” said the Dusseldorf-based firm as it also predicted "significant growth acceleration" for Q2.
Google's Screenless Fitbit Air Relies on Gemini to Be Your Personal Health Coach
Google using AI to understand your fitness and health data, and then offer guidance? Who could have predicted that?!
Post-spring college football bowl, CFP projections: Miami, Texas, Oregon, Notre Dame lead 12-team bracket
Predicted pairings for all 43 postseason games this fall, including the CFP first round and quarterfinals matchups
'iPhone Ultra' Could Be Industry's Most Repairable Foldable
The leaker "Instant Digital" today revisited their February design report on the foldable iPhone, claiming the device's internal design will make it the easiest-to-disassemble and easiest-to-repair foldable phone in the industry. In a new post on Weibo, Instant Digital said the device's "incredibly rigorous underlying engineering logic" has "truly paid off," and predicted that teardown videos will vindicate the earlier claims once the device ships.
Trump Tries to Downplay Economic Effects of the Iran War
At a White House event for Small Business Week, he described the economy as “roaring” and predicted that gas prices would go down soon.
Michigan football predicted to land another 4-star commitment
Michigan football recruiting could land another big commitment soon, with experts predicting 4-star EDGE Jayce Brewer.
Georgia football transfer predicted to be first-round pick
There are several Georgia football transfers that are candidates to be a high draft pick in the 2027 NFL draft
Manchester United vs Liverpool – Predicted lineup and team news
Manchester United aim to secure Champions League qualification when they host bitter rivals Liverpool on Sunday.Michael Carrick’s side currently sit third with 61 points from 34 matches. They have w...
The rise and fall of Hungary’s Viktor Orban: A lesson for all Christians about putting your hope in politics
The recent electoral defeat of Hungarian leader Viktor Orban, seen by many as a repudiation of his illiberal politics, offers a caution not only to those who had confidently predicted the failure of liberalism but also to those who celebrate its staying power.
Scientists just captured a mysterious quantum “dance” inside superconductors
In a breakthrough experiment, scientists directly imaged how particles pair up in a system that mimics superconductors. Instead of behaving independently, the pairs moved in a synchronized, dance-like pattern—something never predicted before. This suggests a major gap in the classic theory of superconductivity.
For Oz Pearlman, a Correspondents’ Dinner Not Even He Could Have Predicted
The mentalist was the featured entertainer at the White House Correspondents’ dinner. He was in the middle of a trick when gunshots rang out.
I Fell in Love With My Best Friend. I Could Never Have Predicted How It Ended.
Everyone used to think we were dating. I thought it was only a matter of time until we were.
Betis vs Real Madrid, 2026 La Liga: Predicted lineups
Real Madrid visit Sevilla to face Betis, and they’ll do so without key players Eder Militao and Arda Güler. Camavinga will likely replace the Turkish player, while Huijsen is expected to start alongside Rüdiger in the center of the defensive line. Real Madrid predicted XI: Lunin; Trent, Huijsen, Rüdiger, Carreras; Tchouaméni, Camavinga, Valverde, Bellingham; Mbappé […]
Volcanoes Send Tiny Warning Signals Before Eruptions. These Scientists Are Decoding Them
The team behind "Jerk," a novel tool that predicted eruptions with 92% accuracy for a French volcano, discusses its work and implications.
Juventus vs Bologna – Predicted lineup and team news
Juventus will aim to strengthen their hold on a top-four spot when they face Bologna at the Allianz Stadium on Sunday in Serie A.The Turin side has an impressive record in this fixture, going unbeaten...
Bayern Munich vs Stuttgart – Predicted lineup and team news
Bayern Munich hosts VfB Stuttgart at the Allianz Arena on Sunday in their Bundesliga matchday 30 fixture, with the title now within touching distance.Vincent Kompany’s side needs just a single point...
Nottingham Forest vs Burnley – Predicted lineup and team news
Nottingham Forest host Burnley today, seeking to translate their European momentum into vital Premier League points.The Tricky Trees are currently riding an emotional high after reaching the Europa Le...
No one predicted this: a human-made giant is shifting Earth’s poles - Futura-Sciences
Dams: Humanity’s Giant Footprint on Earth There are so many ways that human activity shapes our environment—sometimes a little, sometimes a lot. Today, scientists are adding yet another surprising chapter to that story. Between 1835 and 2011, humanity built close to 7,000 dams worldwide. These structures are so massive, they...
Alabama Predicted by CBS Sports to Exceed Expectations
CBS Sports predicts a surprising 10- or 11-win season for Alabama. Can new offensive coordinator Ryan Grubb unlock a championship run?
Arsenal XI vs Sporting CP – Predicted lineup and team news
Arsenal host Sporting CP tonight, aiming to clinch a place in the Champions League semi-finals.The Gunners hold a slender 1–0 aggregate lead after a resilient display in Lisbon last week. Mikel Arte...
“AI polls” are fake polls
A few weeks after Donald Trump’s second presidential win, I took the train up from London (where I was living at the time) to Oxford to attend a conference on polls and forecasts of the 2024 election. Most of the attendees were pollsters or academics, but I also watched presentations from Aaru and Electric Twin, two companies that do what is interchangeably called synthetic sampling, silicon sampling, or synthetic audiences. Stripped of startup jargon, that means they use large language models (LLMs) to simulate responses to public opinion polls by having AI agents take on the role of survey respondents. I had already heard of Aaru thanks to some articles with eye-catching headlines like “No people, no problem: AI chatbots predict elections better than humans” in the months leading up to Election Day. The founders were making some big, some might even say far-fetched claims, such as: “within two years, we will simulate the entire globe — from the way crops are grown in Ukraine to how that impacts production of oil in Iraq, trade through the strait of Malacca, and elections for the mayor of Baltimore.” When Semafor asked Aaru’s cofounders — Cameron Fink and Ned Koh — about my boss, they said “we respect all those who came before us.” Nate (as he so often does) shared his thoughts on Twitter: Fink and Koh were relatively good-natured about this back-and-forth when we spoke at Oxford. They even offered to mail me one of the t-shirts featuring Nate’s quote they apparently had made. I never took them up on the offer, which I now somewhat regret. These synthetic sampling companies fell off my radar for a while, but they do still exist. In fact, Aaru recently received a $1 billion valuation. Is what they’re doing anywhere close to the most important frontier in AI development? Not by a longshot, especially when Anthropic just developed a model so adept at exploiting software vulnerabilities that it’s only being released to 40 companies. Still, silicon sampling is increasingly finding its way into public polling. Axios reported in March that “a majority of people trust their own doctors and nurses” based on findings from Aaru — without mentioning that the “people” in that sentence were actually LLMs. Around the same time, the Public Sentiment Institute “boosted” their online sample of 373 real survey respondents with 114 AI agents.1 (Spoiler alert: even the co-founder of Electric Twin doesn’t think that’s a particularly defensible approach.) Polling companies like Qualtrics and Ipsos are also developing synthetic data panels. So, what should we make of these … “polls”? Let’s get one thing out of the way: whatever they are, they’re not polls in the way that term is usually defined. Subscribe You can’t replace polls with AI On one hand, using LLMs to essentially make up fake survey respondents sort of sounds like the dumbest idea ever, one that will at best imperfectly replicate real polls while introducing all sorts of biases. On the other hand, with LLMs improving at a remarkable, perhaps even alarming rate, maybe that means I’m a dinosaur at the ripe old age of 24 because I still want to rely on polls that talk to actual people. I’m not going to argue that synthetic samples are completely useless. In fact, as I’ll return to later, there is evidence that some techniques can replicate topline survey results quickly and cheaply. But the marketing from certain companies can be slightly optimistic. “No traditional poll will exist by the time the next general election occurs,” said Fink in 2024. We’re just 206 days away from the midterms, and based on the fact that I still have to collect a bunch of polls every day, I’d say he should have run that prediction by a sample of AI agents before the interview.2 To see why synthetic samples can’t replace polls, here’s a quick primer on how they work. The simplest version of these models involves taking a LLM (like ChatGPT or Claude), giving it a demographic profile (e.g., a white, college-educated woman who lives in Utah and makes $70k a year), and then asking it to respond to a survey question. You repeat that process a few thousand times using different demographic profiles and end up with a sample of synthetic survey responses. The actual models used by private companies are more sophisticated than this, usually because they incorporate more hypothesized demographic characteristics for each agent and provide them with extra information. Aaru, for example, feeds agents a diet of news and information they’d be likely to consume, while Electric Twin incorporates their customers’ proprietary data about the audience they’re trying to replicate. The way Ben Warner, the co-founder of Electric Twin, explained it to me was “we have a large amount of data on […] for instance, 5,000 people. Can we make an accurate prediction of how they would respond to another question?” Still, it should be obvious why synthetic samples can’t replace polls. Polling is fundamentally a data collection process. We might use surveys to make predictions by feeding them into election forecasts, but the main purpose of a poll isn’t prediction, it’s gathering new data about what people think and how they feel. Silicon sampling, on the other hand, produces no new data. It’s simply a model: you input LLM training data, demographic prompts, and a bunch of other information, and it spits out a prediction for what a poll would say. We love models here, but models aren’t polls. That difference is an important philosophical sticking point for most pollsters I talk to. “I think politics should stay away from [synthetic sampling], because we’re trying to […] represent the voice of the people,” said Natalie Jackson, a vice president at GQR Insights. Democratic pollster John Hagner told me: “I think I’m just incredibly skeptical of this idea. I don’t think it’s research. At that point, you’re asking the machine to tell you what you already believe.” Hagner has seen some presentations of early synthetic sampling experiments, but so far, “if it’s being used in a campaign, people are keeping it incredibly quiet.”3 But Eli, I hear you saying, aren’t polls themselves increasingly governed by modeling decisions? Indeed they are: pollsters’ choices on which sampling method to use, how to define their likely voter models, and how to weight their samples can and do lead to dramatic differences in the results they publish. Aaru even referenced these limitations in the methodology statement included with that maternal mortality “poll” — although I’m using the term “methodology statement” loosely here, because it doesn’t really explain how the model works at all. We can ignore the (frankly preposterous) implication that synthetic sampling isn’t subject to a separate set of biases. The important point is that there’s still a meaningful difference between using weighting and other statistical techniques on actual polling data and using a model to predict what a poll would say. The latter is far closer to election forecasts or techniques like MRP — potentially useful models, but not a replacement for polls.4 To be fair, other synthetic sampling companies are perfectly happy with the distinction between polls and models. Warner compared polling and synthetic sampling to different tools in a toolbox. “The mistake I think we make is we think that these new tools should either work in exactly the same way or somehow replace these old tools,” he said. “Rather than thinking of it as, okay, so we’ve always had the hammer, we’ve always had the screwdriver, now we’ve got a saw. But don’t use a saw to try [to] do the job of a hammer.” A quick comment from Nate Eli didn’t ask me for a comment — rather rude of him, don’t you think? But since I’m editing this story, I figured I’d add a few quick thoughts rather than putting words in his mouth. Beyond the frequently misleading marketing, what bothers me about the AI “poll” hype is that as AI tools make statistical inference cheaper and/or better (note that these are not synonyms) that actually increases the comparative value of collecting original data. You might be able to train a model to make a reasonable estimate of what some hard-to-reach poll respondent would say — say, a young Black man who voted for Trump. (Such a person checks a number of boxes for a voter who is usually hard to reach in surveys.) Indeed, this is closely related to what models like the Silver Bulletin forecast already do. They essentially smooth out the kinks in noisy survey data by making inferences based on past voting patterns or national polls or surveys of other states. But you don’t actually know what these voters think unless you’re reaching them directly. If there’s a shift in opinion among this subgroup, you’re not going to detect it. So if I were running a campaign, I’d invest more in going the extra mile to find a representative sample of those voters. And then I’d hire some smart quants — or Claude? — to figure out the implications for campaign strategy based on proprietary data that my competitors didn’t have access to. -Nate Silver Are these models any good? If synthetic surveys are just a new type of model, the next obvious question is whether the models are at least accurate. The answer very much depends on who you ask. On one end of the spectrum, you have the maximalist argument that synthetic sampling is more accurate than actual polls. “It’s an incredibly challenging problem to go to someone and say ‘hey, we’re going to be more accurate at predicting human behavior than you, even when you talk to your customers directly’,” Koh recently told CNBC. In his view, synthetic sampling isn’t a saw to polling’s hammer, it’s “magic.” There’s certainly evidence that synthetic samples can replicate certain survey toplines. But if Aaru does have any examples of their approach outperforming the polls, they’re keeping those to themselves.5 Aaru’s 2024 election model, for example, had Kamala Harris leading in Michigan, Nevada, Pennsylvania, and Wisconsin on November 4th. And although they’ve since taken down their forecast page, they gave Harris a 50.5 percent chance of winning the race on November 2nd.6 After the election, Fink told Semafor he was happy enough with those results because they were “within margin of error,” a term that is completely meaningless when applied to a “sample” of AI agents. And of course, Aaru says their models have improved since 2024, so supposedly now they’d be more accurate than the polls? Still, their stronger argument is on cost: “We are significantly faster and cheaper than traditional polling, and still more accurate,” said Fink. The first two claims are undeniably true, but the third brings us to the opposite end of the spectrum. Both Jackson and Hagner are skeptical that these models are reliable for anything beyond replicating common survey toplines. “I just […] don’t think the machines are what we want when we’re looking for nuanced views. My example on this is people in Arizona and Nevada in 2024 who voted for Trump and voted for expanding abortion in their states on ballot initiatives,” said Jackson. Hagner identified another issue. Maybe the synthetic respondents, like sycophantic LLMs, are inhuman in one important way: they’re too nice. “The reports that have come through at the meetings that I’ve been at are that the early experiments on this, they cannot get respondents to be as racist or sexist or, frankly, as negative as human respondents,” he said. Academic research mostly agrees on this point. While there are some papers that show promising results when using LLMs to replicate polling data, most show that LLMs suffer from various quirks like producing too few “don’t know” responses and can seriously overpredict the favorability of politicians like Donald Trump and Kamala Harris. They also seem to struggle with too little variation between demographic subgroups, so the difference in predicted opinion between Democrats and Republicans, for example, is too small. When I asked Warner about these studies, his response to these papers was that just because academics can’t get synthetic sampling to work doesn’t mean that the technique doesn’t work in general. “Actually, the argument is, okay, yours does not [work]. That does not mean […] for this complex set of machinery, which uses a lot of investment, a lot of time, a lot of money, you can’t get it to work.” Cards on the table, I’m somewhat sympathetic to this argument because academics aren’t exactly great at making election forecasts. Usually, the people with skin in the game are the most accurate. Warner’s argument is that the approach Electric Twin takes — which includes, for example, making multiple predictions for each synthetic respondent using different models and prompts and subsequently averaging those to get a final prediction in a sort of ensemble forecast — produces better results than the simpler academic models. Warner shared a comparison between his method and the method from a recent academic paper with me, and Electric Twin was indeed able to get more accurate replication. But even still, he acknowledged that synthetic sampling “is not a crystal ball.” “If you asked me, do I think using other data sources will be more accurate than asking somebody who they will vote for, I would probably say no. But if you asked me ‘would your system be useful for our turnout modeling today?’ I would say yes.” For better or worse, it looks like the method is already getting more popular in the market research world. Most of the clients Aaru touts these days are businesses like EY and McDonald’s. And AI will probably begin to pop up in other parts of the political polling process. Pollsters are already using it to code open-ended survey responses, and some firms, like YouGov, are testing using LLMs to ask survey respondents questions. More worryingly, one danger to actual polls is that AI agents can be used to infiltrate online surveys. Most online polls use various checks to prevent that from happening, but there’s conflicting evidence on how effective those filters are and how prevalent AI agents currently are in online panels. If those agents ever become impossible to detect, it might spell the end of online polling, but the solution isn’t to replace all of your respondents with ChatGPT. Silver Bulletin is a reader-supported publication. To receive new posts and support our work, consider becoming a subscriber. Subscribe 1 That particular poll obviously doesn’t meet Silver Bulletin standards for aggregation. But we exclude all Public Sentiment Institute polls from our averages because we classify them as an amateur polling firm. 2 You could argue that Fink meant the next presidential election, but (a) I’m also confident we’ll still have real polls in 2028 and (b) in that case he should have asked an LLM to define “general election.” 3 Quick caveat: that’s reporting from a Democratic pollster. It’s possible that Republicans are more willing to use AI in political campaigns. 4 Indeed, Silver Bulletin does not include “polls” produced by MRP in our forecasts or averages, and we think it’s extremely misleading when their practitioners describe them in a way that suggests original data had been collected among a large number of states or Congressional districts. 5 A recent report from Aaru and EY did show two examples of a synthetic estimate being closer than a survey to a real-world benchmark — but I’d take those findings with a grain of salt because the report reads more like an ad and didn’t involve any sort of prediction being made ahead of time. 6 For comparison, our odds for Harris on the same day were 48.2 percent.
Burnley XI vs Brighton – Predicted lineup and team news
Burnley host in-form Brighton today, aiming to narrow a ten-point gap to Premier League safety.The Clarets have moved closer to relegation after winning only once in 22 league games. Manager Scott Par...
Barcelona vs Espanyol – Predicted lineup and team news
Barcelona will look to make it seven La Liga wins in a row when they host Espanyol at the Camp Nou on Saturday.The Catalan giants have dominated this fixture in recent years — Espanyol haven’t bea...
Juventus predicted lineup and team news vs Atalanta
Juventus make the trip to Bergamo this Saturday night to take on Atalanta in Serie A.Only four points separate the two sides — Juventus sit fifth with 57 points from 31 games, while Atalanta are sev...
Physicists zero in on the mass of the fundamental W boson particle
When fundamental particles are heavier or lighter than expected, physicists' understanding of the universe can tip into the unknown. A particle that is just beyond its predicted mass can unravel scientists' ...
Scientists may finally detect hidden ripples in spacetime
Scientists have taken a major step toward probing one of physics’ biggest mysteries—how gravity and quantum mechanics fit together—by creating the first unified way to detect tiny “ripples” in spacetime itself. These subtle fluctuations, long predicted but poorly defined, are now organized into clear categories with specific signals that real-world instruments can search for. The breakthrough means powerful tools like LIGO and even small tabletop experiments could start testing competing theories of quantum gravity much sooner than expected.
Bayer Leverkusen vs Wolfsburg: Team news and predicted line-up
Relegation-threatened Wolfsburg travel to the BayArena to face top-four candidates Bayer Leverkusen. Leverkusen sit comfortably in sixth place, having an eight-point gap between them and seventh-plac...
Scientists Witnessed the Formation of a Mysterious Particle for the First Time
Theories long predicted how polarons form, but now there’s proof.
Scientists Witnessed the Formation of a Mysterious Particle for the First Time
Theories long predicted how polarons form, but now there’s proof.
Who did Commanders land in CBS Sports' latest 2026 NFL mock draft?
The Washington Commanders are predicted to select an edge rusher with the No. 7 overall pick in the 2026 NFL Draft in CBS Sports latest mock draft.
West Bromwich vs Wrexham – Predicted lineup and team news
West Bromwich Albion host Wrexham this Good Friday, aiming to record three consecutive league victories for the first time this season.The Baggies have moved into 20th place following back-to-back win...
Final Four predictions: AI picks winners of Illinois-UConn, Arizona-Michigan games
Here's how AI predicted both Final Four games of the 2026 Men's NCAA Tournament:
Source: Feds probing prediction market bets that predicted US actions
Double-digit increases predicted for NJ public worker health plans
Public worker health plans are expected to see more double-digit rate hikes amid stubbornly high utilization and more municipal departures.
France XI vs Colombia – Predicted lineup and team news
France and Colombia face off in a friendly at Northwest Stadium on Sunday, with both sides treating the match as valuable preparation for the upcoming World Cup.France come into this game after a 2-1 ...
Healthy Sixers secure statement road win over red-hot Hornets
Even if no one predicted this would be an important one when the schedule came out, that’s a great win for the 76ers. Philadelphia snuck out with a 118-114 win over the Charlotte Hornets Saturday night. They are 41-33 (Birds), still the seventh seed in the Eastern Conference. In his first game back in three […]
Eagles Predicted to Make Perfect Selection in 2026 NFL Draft
The Philadelphia Eagles have had a nice offseason and that should only continue in the NFL Draft.
He's one reason why aid cuts weren't as dire for the HIV population as predicted
Harerimana Ismail of Uganda is a community health worker who checks on kids with HIV. He lost his salary after the Trump administration's aid cuts but he keeps doing his job.
Mets predicted to make blockbuster Tarik Skubal trade with Tigers
This would come as a change of pace after the offseason.
We picked every game of an NFL March Madness bracket -- and a 6-seed made the Final Four
We seeded all 32 NFL teams into a four-region March Madness-style bracket and predicted every game. Here's who made the Final Four -- and who won it all.
At the Oscars, showstopping feathered gowns took over the red carpet
(CNN) — After feathers fully took over fall fashion weeks, we predicted that veritable flocks of birds would arrive by spring. And so they did on Sunday at the Academy
Widespread School, Government Office, Business Closures Monday
Widespread closures have been announced across northern Michigan Monday amid a winter storm that has hammered the state, producing significant icing across the region. Strong predicted winds and a continued winter storm warning through Monday could exacerbate impacts to infrastructure, especially for areas with icing on trees and power lines. Multiple schools in the Grand …
Scientists just discovered a tiny signal that volcanoes send before they erupt
A new detection method called “Jerk” could dramatically improve how scientists forecast volcanic eruptions. By using a single broadband seismometer, the system can detect extremely subtle ground movements caused by magma pushing underground—often hours before an eruption begins. Tested for more than a decade at the Piton de la Fournaise volcano on La Réunion, the tool successfully predicted 92% of eruptions between 2014 and 2023, sometimes giving up to eight hours of warning.
Trump aide says Iran war will end in 'weeks'; Pope Leo urges ceasefire
Energy Secretary Chris Wright predicted the conflict will end in the next few weeks, if not sooner, and oil prices will ease shortly after.
2026 NCAA Tournament bracket expert picks: No. 1 seeds predicted before Selection Sunday show
Michigan has a lot on the line Sunday vs. Purdue in the Big Ten Championship
Cowboys predicted to sign former $40 million Giants starter
The Dallas Cowboys are predicted to address a major need by signing a former New York Giants starter who was recently cut.
Trump Endorses Jake Paul, Who Isn't Running for Office
The president called Mr. Paul, a boxer and provocative influencer, a “great guy” and predicted that he would run for an elected position.
Particles may not follow Einstein’s paths after all
Physicists have long struggled to unite quantum mechanics—the theory governing tiny particles—with Einstein’s theory of gravity, which explains the behavior of stars, planets, and the structure of the universe. Researchers at TU Wien have now taken a new step toward that goal by rethinking one of relativity’s core ideas: the paths particles follow through curved spacetime, known as geodesics. By creating a quantum version of these paths—called the q-desic equation—the team showed that particles moving through a “quantum” spacetime may deviate slightly from the paths predicted by classical relativity.
Steelers predicted to land top free agent quarterback
Pittsburgh could go in a new direction at quarterback.
2026 Fantasy Baseball Rankings: Sleepers, breakouts, busts from computer that predicted Raleigh's big season
SportsLine simulated the entire MLB season 10,000 times and identified 2026 Fantasy baseball sleepers, breakout and busts
Commanders predicted to sign Eagles free agent for $92 million
Washington would sure love to swipe this guy away.
Commanders predicted to steal top edge rusher from Eagles
The Washington Commanders need to add on defense and one writer thinks there's a clear option in free agency.
President Trump says ‘whole educational system’ could go out of business without fixes to college sports
President Donald Trump has predicted the destruction not just of college sports but the entire U.S. collegiate system unless the industry is fixed quickly.
At college sports roundtable, Trump says 'whole educational system' could go out of business unless fixed
President Trump predicted the destruction not just of college sports but the entire U.S. collegiate system unless the industry is fixed quickly.
Trump says ‘whole educational system’ could go out of business without fixes to college sports
President Donald Trump predicted the destruction not just of college sports but the entire U.S. collegiate system unless the industry is fixed quickly – something some sports leaders who joined him Friday at a White House summit agreed could only happen by raising more money to pay players.
Trump says ‘whole educational system’ could go out of business without fixes to college sports
President Donald Trump predicted the destruction not just of college sports but the entire U.S. collegiate system unless the industry is fixed quickly – something some sports leaders who joined him Friday at a White House summit agreed could only happen by raising more money to pay players.
Trump says ‘whole educational system’ could go out of business without fixes to college sports
President Donald Trump predicted the destruction not just of college sports but the entire U.S. collegiate system unless the industry is fixed quickly – something some sports leaders who joined him Friday at a White House summit agreed could only happen by raising more money to pay players.
Trump says ‘whole educational system’ could go out of business without fixes to college sports
President Donald Trump predicted the destruction not just of college sports but the entire U.S. collegiate system unless the industry is fixed quickly – something some sports leaders who joined him Friday at a White House summit agreed could only happen by raising more money to pay players.
Trump says ‘whole educational system’ could go out of business without fixes to college sports
President Donald Trump predicted the destruction not just of college sports but the entire U.S. collegiate system unless the industry is fixed quickly — something some sports leaders who joined him…
Trump says 'whole educational system' could go out of business without fixes to college sports
President Donald Trump predicted the destruction not just of college sports but the entire U.S. collegiate system unless the industry is fixed quickly -- something some sports leaders who joined him Friday at a White House summit agreed could only happen by raising more money to pay players.
Trump warns US collegiate system could collapse without reform to sports
President Donald Trump has predicted the destruction not just of college sports but the entire U.S. collegiate system unless the industry is fixed quickly.
Electrons catapult across solar materials in just 18 femtoseconds
Electrons in solar materials can be launched across molecules almost as fast as nature allows, thanks to tiny atomic vibrations acting like a “molecular catapult.” In experiments lasting just 18 femtoseconds, researchers at the University of Cambridge observed electrons blasting across a boundary in a single burst, far faster than long-standing theories predicted. Instead of slow, random movement, the electron rides the natural vibrations of the molecule itself, challenging decades of design rules for solar materials.
'Truly extraordinary': Mega-laser shooting at us from halfway across the universe is the brightest 'cosmic beacon' we've ever seen
Astronomers have discovered the brightest and most distant "megamaser" to date. The cosmic energy beam is shooting toward Earth from 8 billion light-years away and was spotted thanks to a weird space-time trick first predicted by Einstein.
Bill Simmons Just Predicted Friday Return For Celtics' Jayson Tatum
Tatum has missed the entire season thus far due to Achilles rehab.
Study Hall: Mizzou 73, Tennessee 69
Mizzou and Tennessee in a knock-down, drag-out, close game? Who could have predicted?
Did the Constitution doom American democracy?
In 2015, Matt Yglesias predicted America’s political system would collapse. Did Trump prove him right?
Newcastle United vs Qarabag – Predicted lineup and team news
Newcastle United host Qarabag at St. James’ Park on Tuesday night, aiming to confirm their place in the Champions League last 16 following a dominant first-leg display.The Magpies have moved into a ...
Five Berkeley Lab Scientists Receive DOE Early Career Research Awards
Five scientists from Lawrence Berkeley National Laboratory (Berkeley Lab) have received Early Career Research Program (ECRP) awards from the Department of Energy. The ECRP program, now in its 16th year, was established to bolster the nation’s scientific workforce by supporting exceptional researchers at the outset of their careers, when many scientists do their most formative work. Recipients use the funding to pursue projects that have the potential to solve scientific challenges and advance the country’s STEM capabilities. To be eligible for the program, a researcher must be an untenured, tenure-track assistant or associate professor at a U.S. academic institution, or a full-time employee at a DOE national laboratory or Office of Science user facility, who is within 10 years of having earned their doctorate. Awards to an institution of higher education will be approximately $875,000 over five years, and awards to a DOE national laboratory or Office of Science user facility will be approximately $2,750,000 over five years. This year’s Berkeley Lab awardees and their projects are listed below: Timon Heim: Better detectors for more powerful particle colliders Timon Heim is a staff scientist in the Physics Division. His ECRP project will develop a new type of detector that can track the particles generated by collisions in particle colliders with high spatial and temporal resolution. Current detectors in use at high-energy colliders, like the ATLAS detector at the Large Hadron Collider (LHC) at CERN, can track the trajectory and measure momentum of particles, but they can’t track a particle’s time of arrival with sufficient precision to discern from which of the many particle interactions they originate. Heim’s proposed technology — called a 4D tracking detector, because it captures data about particles’ positions in space and time — aims to solve this challenge, allowing researchers to glean more precise data from collision experiments to uncover new insights into fundamental forces and potentially discover new particles. The enhanced capabilities of 4D detectors will be a necessity for experiments at future colliders, such as the Muon Collider or Future Circular Collider. The project will develop custom microelectronics that process the signal of a pixelated silicon sensor that can register charged particles passing through it in an extreme radiation environment that these colliders produce during operation. The goal is to measure individual particles’ position with 50-micro-meter spatial and 50 pico-second (one trillionth of a second) temporal precision, for an incoming flux of around 1 billion particles per second per square centimeter. Harrison Lisabeth: Studying underground processes to unleash abundant energy Harrison Lisabeth is a research scientist in the Energy Geoscience Division focused on combining real-world experiments and AI to guide development of geothermal energy systems. His project will explore how deep underground rock formations – where geothermal wells are dug – are stressed by chemical reactions of the minerals and mechanical strain from movements in the Earth. A better understanding of subsurface stresses is essential to engineer safe and reliable geothermal wells that access the heat of deep rocks to produce electricity. It is estimated that the U.S. could generate ten times the amount of energy needed to power the grid using geothermal sources. Lisabeth plans to simulate how minerals grow, dissolve, and influence the behavior of surrounding rock in geothermal reservoirs by tracking chemical changes in rock samples under pressure in the lab. The project will also develop machine learning models to predict geologic strain based on field measurements and refine existing models that describe how common rock types deform under stress. Combining these approaches, Lisabeth hopes to develop a framework to predict stress to improve stability and longevity of geothermal wells. Daniel Carney: Pushing the quantum boundaries of particle measurement Daniel Carney is a staff scientist in the Physics Division who uses quantum information science to study particle physics and gravity. At very small scales, “quantum noise” — random fluctuations from the act of measurement — can drown out faint signals from rare processes. Carney’s ECRP project, “Fundamental Physics at the Quantum Limits of Measurement,” aims to build a new mechanical quantum sensor that can measure extremely small particle interactions below the limits of that quantum noise. The approach uses lasers to hold a tiny bead containing radioactive atoms; when one decays, the system measures the bead’s motion and the energy of any particles emitted. The experiment’s initial goal is to search for heavy sterile neutrinos, hypothetical particles predicted by some extensions of the Standard Model. The system could also help measure the mass of the neutrino, study the way particles interact through the electromagnetic and weak forces, and hunt for low-mass dark matter — all unsolved mysteries in particle physics. Callum Wilkinson: Using machine learning to demystify neutrinos Callum Wilkinson is a staff scientist in the Physics Division and part of the international Deep Underground Neutrino Experiment (DUNE) hosted by Fermi National Accelerator Laboratory. DUNE will create an intense beam of neutrinos that interact in detectors in Illinois and, after an 800-mile journey through the earth, in massive detectors in South Dakota. By precisely measuring neutrinos and how they change, researchers will get a better understanding of their fundamental properties and whether they are responsible for why there is so much more matter than antimatter in our universe. Wilkinson’s ECRP project will apply two machine learning techniques to improve the analysis of DUNE’s data and enhance the experiment’s precision. One approach will look for hidden patterns in how neutrinos interact and produce low-energy particles, while the other will help correct for distortions in what the detectors record. The methods will be tested on one of DUNE’s prototype detectors and could be used in other neutrino experiments, improving their measurements and helping scientists build better models. Aditi Krishnapriyan: Machine learning methods that scale as datasets grow Aditi Krishnapriyan is a faculty scientist in Berkeley Lab’s Applied Mathematics and Computational Research Division (AMCR) and assistant professor at UC Berkeley. Her project, awarded through UC Berkeley, will develop machine learning methods that scale with dataset size for modeling complex, multi-scale phenomena. The resulting tools can be applied in a wide range of research, including the study of new electrolytes for batteries or the examination of molecular interactions. ### Lawrence Berkeley National Laboratory (Berkeley Lab) is committed to groundbreaking research focused on discovery science and solutions for abundant and reliable energy supplies. The lab’s expertise spans materials, chemistry, physics, biology, earth and environmental science, mathematics, and computing. Researchers from around the world rely on the lab’s world-class scientific facilities for their own pioneering research. Founded in 1931 on the belief that the biggest problems are best addressed by teams, Berkeley Lab and its scientists have been recognized with 17 Nobel Prizes. Berkeley Lab is a multiprogram national laboratory managed by the University of California for the U.S. Department of Energy’s Office of Science. DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit energy.gov/science.
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