SCROLL NEWS / DISCOVERY
Search headlines
Find the stories shaping the conversation.
Results for " learns " 62 found 🔀 AI-powered Shuffle
Nebraska learns kickoff time for game at Rutgers
The Big Ten Conference has announced the start time for Nebraska's football game against Rutgers later this month.
Dillon Dingler Learns Gold Glove Fate
Detroit Tigers catcher Dillon Dingler wins his second consecutive AL Gold Glove Award, joining an exclusive group of franchise legends.
CVG Airport's next big business may not involve flying
At Cincinnati/Northern Kentucky International Airport, some of the more interesting traffic isn't in the sky. Autonomous machines scrub terminal floors. Robots can deliver concessions to passengers. An experimental baggage tractor has been designed to move luggage without a driver. CVG is trying to turn the airport itself into a laboratory and, potentially, some of what it learns into products that can be sold elsewhere.
Arthur Street Elementary School learns about the magic of science
Arthur Street Elementary School recently delighted second-grade students and their parents with a special magic show that brought the wonder of science to life. Under the direction of interventionists Angela Hoffman and Tara Masias, Joe…
One violin lesson changes brain wave patterns as beginners learn to play
A new study using wearable brain imaging has shown what happens in the human brain when someone learns to play a musical instrument. The results revealed the patterns of brain activity that enable us ...
Ukraine learns to fight without Starlink as Musk plays politics with satellites
Ukraine has changed drones and war-fighting tech to reduce reliance on Starlink.
SPECIAL REPORT: Tough Business
A string of vacant restaurant buildings shows that many restaurants in the region are struggling — and several are closing By Stefan Yablonski [caption id=attachment_11132 align=alignright width=401] Smokey Bones Bar & Fire Grill on Route 31 in Clay closed its doors in April. It had been in operation since at least 2008.[/caption] By their nature, most restaurants have a limited life. An astonishing 60% go out of business within three years of opening, largely due to fundamental flaws in the planning of the operation. But even restaurants that experience years of success almost always face eventual closure. The restaurant business is very hard and because of both personal factors and external factors beyond anyone’s control, restaurants don’t last forever. For many restaurants, age is a big factor, according to Kenneth Walsleben, professor of practice, entrepreneurship and emerging enterprises at Syracuse University. “The owners have been at it for 20 or 25 years, if not longer, they want some time to themselves,” he said. Such was the case for Jocko’s Famous Ritz Diner in Oswego. Jocko Reitz bought the building in the late 1970s from Robert Shapiro. However, when he stepped away from the business, it eventually closed. [caption id=attachment_11142 align=alignright width=402] For nearly 80 years, Vona’s Restaurant passed through three generations of family in Oswego. It closed its doors on Dec. 31, 2025.[/caption] For nearly 80 years, Vona’s passed through three generations of family in Oswego. Vona’s Restaurant officially closed its doors on Dec. 31, 2025, when no family member wanted to take over. It is on the market. The Ruby Tuesday in Oswego operated for about two decades before permanently closing in April 2026. The restaurant faced multiple temporary health department closures in 2024 and 2025 due to persistent fruit fly and foundation pest issues. Management posted a final closure notice on the doors in mid-April 2026 and the building was put up for sale. The same pattern has been happening in Onondaga County. The big building once used by Smokey Bones Bar & Fire Grill on Route 31 in Clay remains empty, more than six months after the restaurant closed its doors in April. It had been in operation since at least 2008. [caption id=attachment_11130 align=alignright width=401] Ruby Tuesday in Oswego operated for about two decades before permanently closing in April 2026.[/caption] Just down the road from Smokey Bones, the popular Outback Steakhouse closed in August 2024. Another restaurant took its place, La Cocina Mexican Restaurant, but it closed shortly after. The building sits empty. Other very popular restaurants in the northern suburbs of Syracuse have recently closed. Among them, Fireside by the River in Baldwinsville and Primo Nestico’s Bistro Bar in North Syracuse. “I haven’t really paid attention to the Syracuse area. There has always been some turnover, but there probably has never been a tougher time to be a restauranter than now. It’s just brutal,” Walsleben said. In the first year, roughly 20% to 25% of restaurants close or change hands, according to the National Restaurant Association. [caption id=attachment_11122 align=alignright width=401] Outback Steakhouse closed in August 2024. Another restaurant took its place, La Cocina Mexican Restaurant, but it closed shortly after. The building sits empty.[/caption] “Depending on what statistics you look at, you’ll find that any business has a high mortality rate in the first year. That is just the nature of entrepreneurship,” Walsleben said. “There are certain ones that are getting hit hard while others are more fruitful. “And when you look at the restaurant industry you have to factor in labor which is a large part — typically a third of your expenses — and those costs are going up. And there is always turnover which means investing money to train people. Then you’ve got food costs, which is also a third of the typical restaurant budget. Since the pandemic labor has gone up 41%, food costs have gone up 35%. That’s a big tight squeeze righty there. That’s two-thirds of your budget that has gone up 35% to 40% in the last few years. And then the only way you can make that work is to raise the prices.” The National Restaurant Association reports menu prices are up 36% since February of 2020. In a survey released by the association, more than eight in 10 restaurant owners reported that their food, beverage and labor costs are now higher than before the pandemic. You have to deal with the reality of are the customers willing to pay for that? Walsleben added. Restaurants historically have very thin margins; their profit margin is about 5%. “You have a third that goes into food, a third that goes into labor and about 28%, 29% that goes into everything else — overhead, insurance etc. So that brings you down to your 5% leftover,” he said. “Everything is going up. Customer expectations are going up and people aren’t going to spend that much more. So, you have a tight squeeze here,” Walsleben continued. “Restaurants who use delivery apps, they pay a fee to those guys. Those guys don’t work for free. So, you can kind of see where the squeeze comes from.” Stuck in the middle There are pockets of opportunity; the two extremes of the market can make a profit. But the middle gets squeezed out. “If you are a low-end fast-food kind of place, there is room for that. People have changed their budgets. They are still going out, but they are not spending more,” according to Walsleben. “The high end remains positive. If you have a restaurant that brings a specific experience … a great food product or you are catering to high end customers who aren’t so budget conscious, those patrons are going to expect a high-end experience. They expect excellent food every time. They are expecting excellent service. If you can meet those expectations there is room for you at the top. It’s just the guys in the middle are getting the squeeze from both ends. Tough competition, customer expectations, costs are up. Menu items, you can’t raise the prices as much as you need to. That is why you are seeing a lot of restaurants baling out.” The ones that can adapt quickly are the ones who are doing OK. “Success is heavily dependent on the strength of a restaurant’s concept development and the planning of its execution. Eventually things aren’t always new. Things change. So, if you are in the restaurant business you have got to change your menu — keep things new, fresh and update your meals. It is very fickle industry. One year carbs are out, the next year berries are out. Everybody’s diet changes — constantly chasing the latest phase. You have got to adjust your menu and move with those modifications. If you have a static menu that you have used the last couple years that hasn’t changed except for the pricing, you’ve got a problem,” he said. A lot of times these buildings are singular purpose, he added. “You have a commercially viable kitchen and you got a seating area. There is not a lot of other businesses that cater to that type of a layout. So, it’s pretty common to see another restaurant slide in,” he said. One of the things a banker learns early on is you don’t lend money to restaurants … because they fail so quickly. It is very hard to predict who the winners will be. So, if you are a restaurant in addition to all the other challenges, it is very difficult to get loans, according to Walsleben. “You might work really well in the kitchen. But that doesn’t mean you are a great businessperson,” he said. “Restaurants can fail because the owner didn’t know how to manage things properly. There are a lot of challenges. “There is opportunity at the high end and the low end. But in the middle, that’s the death valley. There are just so many things working against you. You really need to have something that will pull people in and continue to pull people in because you to constantly have to change. Think about a theme and a product that is unique to the area people don’t travel that far these days you have to be able to deliver it in an innovative fashion and keep updating to keep people coming in the door.” Out of Business? How Fast? Do nine out of 10 restaurants fail in their first year, as commonly claimed? No. Survival analysis of 1.9 million longitudinal microdata for 81,000 full-service restaurants in a 20-year U.S. Bureau of Labor Statistics non public census of business establishments in the western US shows that only 17% of independently owned full-service restaurant startups failed in their first year, compared with 19% for all other service-providing startups, according to ResearchGate. The median lifespan of restaurants is about 4.5 years, slightly longer than that of other service businesses (4.25 years). However, the median lifespan of a restaurant startup with 5 or fewer employees is 3.75 years, slightly shorter than that of other service businesses of the same startup size (4.0 years). What Makes a Restaurant Successful? Opening and maintaining a successful restaurant is not as easy as creating a great menu and serving excellent food. It takes more than that, according to local restaurant owners who have been in business for decades in the region. They all agree that there are some guidelines to running a successful restaurant. • Quality food: Successful restaurants know exactly what they serve and who they serve it to. Delivering the same great taste every single time builds loyal customers. • Smooth operations: Friendly greetings and attentive staff make guests feel welcome from the moment they walk in. Hiring staff for personality and training for skill ensures reliable, caring service. • Smart marketing: Exceptional food and experiences naturally get people talking and sharing online. Word of mouth can help entice customers. Consistent social media and targeted advertising brings in new and repeat guests also. The menu is what keeps patrons coming back to Mimi’s Diner in Fulton, located at 201 N. Second St. “We locally source our produce and our meats. Our chicken and biscuits is a popular, popular special,” said Richard Tagliareni, the third-generation owner and general manager. “It’s all homemade. We have consistently served quality food.” His grandfather started the business more than 55 years ago. Mimi’s is engrained in the community. They cater to the community and are very involved in everything from the schools to local events. The first Mimi’s Drive-In opened in Mexico. Then a second in Oswego and then Fulton. Fulton’s Mimi’s is the only one left. “The last couple of weeks have been kind of slower than normal. October is usually a busier month for us People will start coming back around again. Also, the price of gas is affecting some things,” Tagliareni added. “We try to keep our prices in line. You go out to eat, you’re going to spend about a hundred bucks or so for two people for dinner. You come here to Mimi’s you are probably for two people for dinner it’s between $50 and $60. We are trying to keep our prices in line. We did have to increase our prices a little bit but things are looking OK.” For the Press Box, 29 E. First St., Oswego, it’s also about great food and a family atmosphere. “Our sports bar and restaurant was established in 1984,” said Alison Canale Scanlon, manager. “I think putting the time into everything makes a big difference and treating people like family when they walk into your restaurant. That’s how we have always operated since 1984.” “It’s the family oriented aspect,” she added. “Consistency, quality and presentation of our food — that’s the secret to a successful restaurant. We try to be very consistent with it. We treat people like family when they come in; because we know how we want to be treated when we go to a restaurant. We treat people the same or better.”
Red River Rivalry: OU's offense learns what winning requires but still has much to prove
OU stunned Texas with a 27-24 come-from-behind win at the Cotton Bowl in Dallas.
As AI Learns to Write, Tuhin Chakrabarty Studies What Humans Stand to Lose
As AI models are able to generate increasingly convincing prose, what began as an experiment—can AI write something that sounds plausibly human?—is becoming a commercial reality, with blog posts, YouTube video scripts and even bestselling novels bearing AI’s fingerprints. But the speed of that shift brings unique challenges, including questions of copyright infringement and an
'Brick or Treat' descends on Legoland as Halloween countdown begins
"Your Morning" learns more
UConn Football Learns Game Time For Week 6
The Huskies have to get through Syracuse first, but they'll take on Temple on Oct. 10.
Player Health & Safety Across Sports and Borders: A Conversation with World Rugby's Dr. Éanna Falvey
NFL Chief Medical Officer Dr. Allen Sills spoke with World Rugby Chief Medical Officer Dr. Éanna Falvey about how the NFL learns from and shares best practices in player health and safety with international counterparts.
Player Health & Safety Across Sports and Borders: A Conversation with World Rugby's Dr. Éanna Falvey
NFL Chief Medical Officer Dr. Allen Sills spoke with World Rugby Chief Medical Officer Dr. Éanna Falvey about how the NFL learns from and shares best practices in player health and safety with international counterparts.
Labour is nostalgic for two-party politics. That cosy, simple time is over
Our fragmented political model will endure for the foreseeable future – and Reform will benefit from it until Burnham learns that cooperation is key, says Guardian columnist John Harris
Kansas Football Learns Kickoff Time for Middle Tennessee Matchup
Kansas Football Learns Kickoff Time for Middle Tennessee Matchup
Signs of Change: A Kenyan Community Health Worker Learns to Talk to his Deaf Patients
As county governments roll out inclusive healthcare programmes for people with disabilities, Community Health Promoters learn a new lexicon of care. From Gavi, the Vaccine Alliance/VaccinesWork
Kansas State's Casey Alexander Learns First Big 12 Schedule
On Thursday, the Big 12 announced the conference schedule for men's basketball
Syracuse Football Learns More Information About 2027 Schedule
We already knew that the Orange were going to play Wake Forest in Toronto, but there's more on the table now.
BIRDIE THIRTY: "Window feeders provide endless entertainment for cats" - EWN at 7:30am on 9-13-2026
Window feeders provide endless entertainment for kitties, which pays off twofold: it keeps the cats happy and amused without exposing them to the outdoor dangers of predators and cars, and also lets them watch birds without killing them, thus helping out our feathered friends, too! Feral/outdoor domestic cats are one of the top three reasons for decline in bird populations (i.e bird death) in North America, so a window feeder (and indoor cats) are two big steps in the right direction! As seen here, this parade of curious kitties is enraptured by the idea that a bird might visit momentarily. Once a cat learns that a window feeder will attract these winged wonders, it will often stay pinned at the window for hours, eagerly awaiting the next bird. Sometimes watching the cats watch the birds can be even more entertaining than watching the birds themselves!
Kiwanis learns about health department
SIDNEY — Sidney-Shelby County Health Department Accreditation and Medical Reserve Corps Coordinator Eileen Ferree spoke at a recent Sidney Kiwanis Club meeting.
AI learns nature’s code: Allen Institute, UW and Fred Hutch launch $95M open science initiative
Three of Seattle's top scientific institutions are launching a nearly $95 million research initiative that will generate data and train AI models to design proteins and genes that don't exist in nature — sharing the results freely to help others develop new medicines and materials.
Race Matters: When AI Learns Our Bias featuring Professor of Computer Science Ian Davidson
Artificial intelligence is rapidly becoming part of how we work, learn and make decisions. But AI doesn't think independently — it learns from the data and information people provide. As a result, these systems can reproduce or even amplify patterns of bias that already exist in society.
Leopold Aschenbrenner and the Wall Street lesson every genius learns
Leopold Aschenbrenner's hedge fund collapse shows how even brilliant investors can get crushed when markets turn.
Business journalism studies took her to the White House | UNC Hussman School of Journalism and Media
The story by UNC Hussman alumni Brennan Doherty ’19 and video by John Roberts ’16 (M.A.) was originally published on unc.edu. This story is part of a four-part series on Carolina alumni working in Washington, D.C. Soon after her 2015 graduation from UNC-Chapel Hill, Megan Cassella was an intern for the Reuters news agency, eagerly awaiting and prepping for a special assignment. “Every now and then they needed an intern to run over to the White House last minute,” Cassella said. “You have to send your information the night before, so I started proactively sending my information to the White House every single night to be able to go the next day if they ever needed an intern.” Since then, she’s made many return trips to 1600 Pennsylvania Ave. in a career that’s included roles at Reuters, Politico, Barron’s and now CNBC, where she works as an on-air Washington correspondent. A longtime newswriter, Cassella made the move to TV in 2024, appearing on broadcasts multiple times daily to report on the biggest political and business stories. But the keys to doing a good job — knowing how to research, asking insightful questions, building relationships and explaining complex topics to a broad audience — remain the same. Did you know: Outside of the state of North Carolina, the Washington region is home to the largest concentration of Tar Heel alumni in the country. Cassella’s time as a Tar Heel was crucial in sharpening those skills, both in the UNC Hussman School of Journalism and Media and through roles at student-run publications like The Daily Tar Heel. She excelled in Carolina’s business journalism program with former professor Chris Roush, which led to an internship at The Charlotte Observer and helped Cassella find her journalistic niche. A data journalism course with Associate Professor Ryan Thornburg taught her how to find stories in numbers, and former professor Paul O’Connor’s reporting class took Cassella to the North Carolina Capitol weekly, where she gained invaluable experience interviewing politicians. “Those hands-on experiences that Carolina gave me really kept my interest and have really benefited me since I’ve been up here in D.C.,” said Cassella. “I have UNC to thank for the fact that I even went into business journalism in the first place.” Megan Cassella ’15 “You’ve got to thrive on adrenaline in this job. You’ve got to do well with last-minute changes, with running by the seat of your pants.” Megan Cassella ’15 ‘There’s nothing else like it’ In recent months, Cassella has reported live from the G7 Summit in Geneva, covered the latest developments in the U.S.-Iran war and followed changes to trade policy, including tariffs. “Anything in this realm that influences Wall Street, I’ll be covering,” Cassella said. Her working hours are long and variable. After waking up, Cassella immediately checks her phone to see what news broke overnight. By 8:15 a.m., she usually learns which newscasts she’ll be on, and then she heads to the newsroom, White House or wherever her assignment is. “We want you in the 9 a.m. show and the 11, and then the 3 o’clock show wants you, too,” Cassella said, referring to a hypothetical day. If Cassella gets an exclusive or major news breaks, she might be told, “We want that on TV right now.” Within five minutes, she’d be expected to get to the camera, figure out what to say and deliver the news to a live audience. “It’s exciting. It’s nerve-wracking,” Cassella said. “But there’s nothing else like it.” A well-rounded education Cassella grew up in Maryland, the youngest of four kids. Her oldest brother, Brian Cassella ’05, attended Carolina, became a photojournalist and recently won a Pulitzer Prize. She remembers visiting campus as a young child and loving it. “I just always wanted to go,” she said, and that desire grew when she, like her brother, gravitated toward journalism. But it wasn’t just the journalism school that drew Cassella to Carolina. “It was also the whole liberal arts curriculum,” she said. “Even though I always wanted to be a journalist, I got to college, and I sort of felt I had to think about other things. I had to explore my options and see if that’s what I really wanted.” Did you know: In April UNC-Chapel Hill opened its Carolina in the Capital office in Washington. She combined her journalism schooling with a global studies major and a history minor. That broad range of academic experiences in Chapel Hill molded her, preparing Cassella for a career that’s taken her to the highest levels of political journalism and inside the Oval Office. “When you sit back and remember you’re actually sitting inside the White House and asking questions of the president, it’s a cool feeling,” Cassella said. “No matter who is in office, no matter what administration or party, it’s a privilege to be there.” Megan Cassella on… Being a Tar Heel in Washington: I run into Tar Heels all the time. My husband’s a Tar Heel. We actually met here in Washington, not at Carolina, even though we were the same class. Probably most of our friends are still Tar Heels. Even up here in D.C., we all get together for games and March Madness. And through work, there’s Tar Heels all over the place. It’s often used as a connection. Favorite Franklin Street spot: When we go back, our first stop is always IP3. That’s more my husband’s doing than mine. In college, I was a huge Spanky’s fan. Felt like it was a classic spot. May it rest in peace. Advice to journalism students: Reps, reps, reps! Nothing beats the experience you’ll gain by simply starting to do the work — asking the questions, reporting and writing the stories, doing the TV hits. When you can, go places in person. Talk to more people than you think you’ll need. Read as much as you can, from different sources and on different topics. If you’re not sure how to start your story, that usually means you need more reporting. When you’re not sure, ask.
New ChatGPT Training For Small Businesses And Other Technology News This Week For Your Business
OpenAI launched AI training for small businesses, Microsoft upgraded Excel with AI, Intuit debuted a QuickBooks card, Claude learns workflows, and AI-ready websites are now essential.
Damian Lillard learns new language to communicate with Blazers teammate
Damian Lillard has made an effort to speak with Portland Trail Blazers teammate Yang Hansen in his native language, Chinese.
Moms Podcast Takeover: Sun, swim & science with Dr. Liza Lockwood
Summer myths are everywhere—but some can be dangerous. This week on the Mom Pod, Dr. Liza Lockwood joins the moms to separate fact from fiction on sunscreen, water safety, and hydration. From the biggest summer parenting myths to simple science-backed tips that could keep your family safer, this is one conversation you'll want before your next trip to the beach, pool, or playground.
Arizona rattlesnake bite response: Banner Health team carries unique antivenom
Banner Air shows how its emergency teams respond to rattlesnake bites in remote Arizona locations. FOX 10's Steve Nielsen learns their response plan during a time where every second counts.
DC Sports Reality Check: Why the commute is clutch time for sports fans
In Part 2 of a five-day series on how DC-area sports fans follow their teams, Rob Woodfork learns what fans can still only get from listening in the car.
I mocked sports fans. Then I became one.
A lifelong sports skeptic learns to love the power of the game.
Learn to Fresco Paint with the Science Museum of Western Virginia
7@four learns to Fresco Paint with Play-Doh.
Arkansas basketball learns Bahamas opponents ahead of summer trip
The Razorbacks will face two Canadian universities, a Colombian professional team and the Bahamas national team while in Nassau.
How is Derry City's new pitch 'World Cup standard'?
Ahead of Friday's first game back at the Brandywell, BBC Sport learns how a giant sewing machine has helped put Derry City's new hybrid pitch together.
Mount Dora business owner scrambles to help homeless man, learns Lake County has no emergency homeless shelter
A Mount Dora laundromat co-owner is rallying support for a homeless man after discovering Lake County has no emergency shelter and few local resources.
Man sells his couch on Facebook Marketplace. Then Zelle flags the payment for being too high. Then he learns he’s been bamboozled
“A little red flag is going off in my head."
Man sells his couch on Facebook Marketplace. Then Zelle flags the payment for being too high. Then he learns he’s been bamboozled
“A little red flag is going off in my head."
Three-armed Sashimi-Bot learns to slice and serve fish like a pro
If you ever need help in the kitchen cutting fish into appetizing bites, a new three-armed robot may be able to help. And that's no easy feat for robots. While they are generally good at picking up rigid ...
Gov Sanders reveals 'major breakthrough' on education as red state positions itself as 'blueprint' for nation
Arkansas students show 7% proficiency gains under Gov. Sarah Sanders' LEARNS Act, with the governor hoping red and blue states will follow the blueprint.
Arkansas women's basketball learns 2026-27 SEC opponents, locations
Arkansas was paired with Mississippi State as its home-and-away opponent in 2026-27.
We can create the future of science right now
Paul Litvak is the founder and Executive Director of the Robyn Dawes Institute and a Visiting Scholar at UC Berkeley. He has a PhD in Behavioral Decision Research from Carnegie Mellon where he studied emotions and the sunk cost bias. Over 15 years in industry, he solved a wide range of challenging technical problems. At Meta he created models optimizing the ad review process. At Google he ran experiments to measure social influence. At Airbnb, he was a product manager leading machine learning teams optimizing search ranking and price suggestions. He also co-founded and led product at Rhythmic Health, a venture-backed biosensing startup, creating an accurate low cost system using a color changing strip and a smart phone to measure salivary lactate. The bottleneck At this point, it is uncontroversial to say that science needs to stop using the PDF article as the unit of knowledge and currency. The unbearable slowness of scientific publishing, the profit motive and margins: I’m not saying anything new. The PDF also sucks because it’s hard to extract structured information, which makes it hard to do evidence synthesis. As a result, we do much less evidence synthesis than is needed. And evidence synthesis ultimately undergirds most policy and medical decision-making. I can see second-by-second real-time odds for any sporting or newsworthy event, but a school board can’t see the best evidence on whether their 8th graders should be taught algebra. As a society, we don’t treat this as an important problem. Again, not controversial. Not only is the problem well understood, but the solution has already been laid out. What we need is AI-assisted living evidence synthesis - (1) an open knowledge graph of atomic claims, (2) claims linked to evidence, (3) assessment and synthesis of each piece of evidence, and (4) continuous updating with new data. What few realize (yet) is that the technical capacity to build this vision for a significant portion of science already exists. Not only that, scientists and startup teams are already building many of these components. I know this because I’ve been surveying the space and talking to many of the builders. There are some missing pieces: for example, evaluations of how well some of the components work. But at this point, most of what’s missing is a fully end-to-end working integration of all of these parts. In the rest of this essay, I’m going to lay out all the parts of a working living evidence layer for science and who is working on them, and propose concrete next steps for building this system. What’s now possible The diagram above outlines the components of a living evidence synthesis platform, including some of the teams working on each component1. Scientific PDFs are processed into claims with associated evidence. The evidence is subjected to a forensic audit, methodological evaluation and robustness and reproducibility checks. Finally it’s given a weight in a continuously updating synthesis. What follows is a description and status of each component and a few of the teams working on them. Document understanding The first thing you need to be able to do is turn an article into structured data. Mostly that means parsing PDFs. There are often multicolumn layouts that confuse non-specialized PDF to text processing libraries. For scientific papers, there is the added complexity of parsing formulas and tables and figures. This is a really hot area - there are startups offering APIs, and it seems like a new open source package gets posted to Github every few weeks. What follows isn’t exhaustive. A package called GROBID was the state of the art for a while, they didn’t update their package for nearly two years until very recently. In the meantime reducto.ai released an AI powered PDF extraction API, PaddleOCR became popular, IBM released a model called Docling, and both Mistral and Gemini created models and libraries. I also know of at least one other well-funded psychology research group working on a paper parser. By contrast, there are few open evals in this space, with no extensive evals for complex table comprehension in particular. Nonetheless, I’m confident this will be a solved problem soon, given the combination of LLM advances and developer interest. Hypothesis level extraction There has been increasing interest in comprehending the extracted text of papers and linking information to evidence for each hypothesis. A lot of work has already been done. Trialstreamer (Marshall et al. 2020) and RobotReviewer LIVE (Marshall et al. 2023) demonstrated automated extraction of trial population, intervention, and outcome at scale on clinical RCTs. PaperQA2 (Skarlinski et al. 2024) and Ai2 ScholarQA (2024) extended this to retrieval-augmented question answering with citation grounding. Elicit, Consensus, and SciSpace operationalized claim-level extraction for end users. OpenEval (Booeshaghi et al. 2026) is the most recent and most ambitious: 1.96 million atomic claims extracted from 16,087 eLife manuscripts using Claude Sonnet 4.5, grouped into ~299,000 results, with LLM evaluations showing 81% agreement with human peer review on a 2,487-paper subset. None of these solutions link claims to test-statistics, as you would need to evaluate randomized controlled trials. This is why I built the evidence.guide API - to extract hypotheses and associated test statistics from behavioral science papers. The best public eval of this kind of extraction I’m aware of comes from the recent SCORE project - they had humans code thousands of psychology papers to extract their claims by hand. It would be extremely helpful to the world if all scientific PDFs were available as structured open data. I’ve been working to make this happen, both directly at Berkeley and through coordination with large entities I can’t yet speak of; as hard as it is to do, I think it’s possible2. Forensic audit A lot of work has been done on forensic audit, but some gaps remain. Of course, for biology papers that rely on images for evidence, there are a variety of tools (notably Proofig and ImageTwin) to spot anomalies. These are still well short of what sleuths like Elizabeth Bik can do on her own, but these tools are constant companions among fraud analysts. There’s someone working on auditing Excel files for anomalies, and a number of teams are automating numerical checks like GRIM and SPRITE, including Scrutiny project, the INSPECT-SR team as well as statcheck. The regcheck team is building a way to use AI to compare preregistrations to analyses in papers, to ensure there aren’t significant deviations. Nonetheless, there are many other kinds of anomalies to screen for, both public and less publicly known. And there are no formal evals for anomaly detection that I’m aware of. Still, there’s a lot to draw from in this space and I’m pretty certain we will be able to scan papers for most kinds of obvious anomalies in the near future. Methodological review This area has been white hot, though I fear for many of the startups in this space, because this capability may become commoditized. There are at least six different AI peer review companies, including Refine.ink, Reviewer3, ReviewerZero.ai, Q.E.D. Science, Paper Wizard, and Isitcredible. Coarse (a pun on refine) was also recently created as an open source alternative. These systems provide qualitative feedback on the content of papers, spotting methodological weaknesses and mathematical errors. They seem to work pretty well, and many academics report bitterly that they exceed the average quality of typical peer reviewers. But there are few evals here either. What evals exist so far involve using LLM-as-judge (circularity problems abound) or comparing against human reviews of questionable quality. What you’d ideally want is an eval that measures capturing known errors in papers3. Reproducibility and robustness Another active area has been using AI agents to automate computational reproducibility4 and robustness5 checks in papers that report numerical results. For more recent papers where data and code are available, AI agents can see whether they can re-run the analyses and produce the numbers reported in the published paper. In addition to a handful of individual academics who have been experimenting using Claude Code for this, the Institute for Replication is a leading group working on building an end to end system. The evals related to this problem are the most mature, with CORE-Bench (Siegel, Kapoor, Narayanan 2024) and PaperBench (OpenAI 2025) available to benchmark agents on this task. There is also work on getting AI agents to test alternative ways of analyzing the data to ensure the results are robust to small analytic design choices. Synthesis This is the most underdeveloped area where significant investment is required. Although some automated evidence synthesis systems exist — for example, otto-sr is building an AI agent to write systematic reviews — none of these incorporate the full range of paper level signals to weight evidence appropriately. Nor is there anything like an eval or a gold standard for a good systematic review. Arguably Cochrane reviews are the closest we have to gold standard human systematic reviews, though I’ve heard academics in the know complain about their uneven quality. A key question for a synthesis platform is how to weight anomalies and methodological issues in assessing the quality of a piece of evidence. This is an unsolved problem and one I’m very keen to work on. Continuous updating There are many pieces of basic infrastructure available for monitoring for new research and initiating updates. OpenAlex is the current open citation graph. Retraction Watch integrated into Crossref in October 2023. Scite tracks how citations support, contrast, or mention prior claims. The Living Evidence Network demonstrated continuous-update workflows in clinical guidelines. Engineering this is a relatively straightforward task. When you look over this technical architecture and all the progress being made, it’s hard not to be optimistic that a living guide to scientific evidence will be built. The stakeholders are ready The social infrastructure for this is starting to coalesce — it’s not just a pie in the sky academic exercise to imagine this coming into existence. Institutions like the Center for Open Science, the Institute for Replication, the INSPECT-SR, the Living Evidence Network and more are all working on scaling work to improve research quality. Funders are also aligned. The Sloan Foundation has funded living evidence work through COS. Coefficient Giving supports the Institute for Replication and COS. The Astera Institute and the Institute for Progress have shown interest in this space. NIH has established an Office for Replication and Reproducibility. Although there are (very unfortunately) serious headwinds in science funding generally, there is an active group of funders interested in metascience. A brief word about what I’ve been doing at RDI. First, as a Visiting Scholar at Berkeley I’ve been actively figuring out how a non-profit and a public university can conduct and make public the results of large-scale academic article data mining. With some of the money I raised from donors, I commissioned a legal analysis of recent case law and publisher text data mining (TDM) agreements in order to understand whether a massive open data mining of academic articles is possible (with caveats, it is). I’ve also been working to bring together stakeholders in this space, and identify gaps. I’ve also been doing some software development in this space, with more to come. A pilot proposal The assumption undergirding all of this is that an AI, given all this information, would make the right judgment about a scientific claim with lots of conflicting evidence, weighing all the factors appropriately. That’s the hypothesis we need to test. Randomized control trial research is the best place to focus on first. RCTs are used to make many of the important decisions in society - from medical trials to public policy changes. And they use a relatively uniform set of inferential statistics with lots of known and available diagnostics. Behavioral science experiments, within the broader realm of RCTs, should be first used as a testbed whose results can be generalized. Because behavioral science is at the vanguard of open science practices, replications abound (there are thousands of them) to serve as ground truth training data. Key Hypothesis Therefore the pilot would test, in behavioral RCTs that have been replicated, whether the quality of evidence for a claim can be used to accurately predict whether that claim will replicate. Secondary Hypotheses Compared to claims that replicated, non-replicated claims demonstrate a greater share of forensic anomalies in their source literatures. Hypothesis level claim and statistic extraction is accurate enough to scale living evidence without onerous human review costs. Replication prediction is more accurate than prediction markets6 or journal prestige. If all the different quality signals we gather do accurately predict which studies will replicate, then we can use that model to score evidence to power the living evidence layer. Why this is informative regardless of outcome If the pilot succeeds, the architecture extends to medical RCTs (where Living Evidence already operates and integration is mostly about claim representation), then to slices of basic biology with stable replication structure. If it fails, the field learns which quality signals are load-bearing and which ones metascience has oversold. Either result is a contribution to knowing what the literature supports. Implications for funders Because this burgeoning ecosystem of builders already exists, a well-informed philanthropic or government funder could play a crucial catalyzing role in bringing this future about. They could play at least three roles: creating open structured datasets, publishing open benchmarks and incentivizing the solving of key technical challenges. First, open archives of papers that the government maintains, like PubMed, could be turned into structured data amenable to large scale metascience and claim aggregation. I know the US government already has an interest in doing this, though some key open questions remain unanswered. How do you determine the best models and systems for accurately extracting information from papers? How can you establish a robust way to allow researchers to flag errors and correct them? And finally, how do you create a legal regime in working with publishers to maximize the scope of available papers? For the latter, a university or a private philanthropy may be better positioned to make structured data publicly available under journal subscription terms or fair use. Philanthropists or government funders could also coordinate to create or commission benchmarks that evaluate whether important problems have been solved. For example, an open benchmark for claim extraction from a range of different scientific article types would be extremely helpful. Ensuring the underlying data are accurate is vital for creating these evaluations. I’ve discussed opportunistically using various human-created datasets for this purpose, but a consistent problem is that errors in human data make it difficult for them to serve as a gold standard. Finally, with structured data and benchmarks available, the government or private philanthropy could use them to incentivize groups to develop machine learning systems that meet these benchmarks. Prizes are one potentially valuable tool for this. For example, you could establish a prize for a system that accurately updates a living meta-analysis for a small set of claims. Prizes are particularly useful as signals of problem importance, and can help create vibrant ecosystems of public and private research—see, for example the role the government played in kickstarting the current work on nuclear fusion. Conclusion The drawbacks of the current scientific publishing system are known. Scientists agree, metascientists agree, philanthropists agree: the published PDF plus citation graph isn’t the right substrate for maintaining a representation of the evidence base in science. The pieces needed to build the alternative either already exist or are rapidly taking shape. The community is forming around exactly this problem, with concrete partnerships and shared infrastructure. A pilot should start on behavioral science RCTs because that’s the slice of empirical science most amenable to legibility, where replication ground truth is richest, and where the failure modes are best documented. What’s been missing is the galvanizing mission to assemble these pieces into something that works. That’s what I’m proposing to build. *** 1 I have a broader field map that I’ll release publicly soon. This is me, building in public! 2 If this is something that you are excited about, please reach out and talk to me. 3 More on this very soon too! 4 This tests whether, given the code and the data, you can get the same statistics as reported in the published paper. 5 This tests whether the results are the same as a paper’s given alternative analytical decisions in conducting the analysis (like outlier omission). Closely related is the idea of a “multiverse” where you come up with many different ways of answering the same underlying research question with the same data, and test whether the results hold in all those alternative methods. There’s been work on the latter as well. 6 Some of the replications, e.g. those from the SCORE project, had paired the experiments with forecasts from prediction markets. So we get to look at this for free.
Scientists just built a powerful AI computer worm that learns as it spreads
The prototype could help the world prepare for AI malware threats, the researchers say
Fujitsu develops self-evolving multi-AI agent technology that learns and adapts to business operations
Fujitsu Limited today announced the development of a self-evolving multi-AI agent technology that enables multiple AI agents to perform tasks as a team, continuously and safely learning from daily execution results, human feedback, policy revisions, and specification changes.
Inside the U’s baby science research lab, a look at how the world learns
The University of Minnesota Child Brain and Perception Lab explores how infants and toddlers make sense of the people around them. MPR News spent a day recently at the lab watching one of the “pilot babies” discover their world.
Howard student learns to embrace her authentic self as a sports journalist
Andscape's Rhoden Fellowship taught Howard's Ciara Latham to silence her fear of rejection, be firm in her voice and stay authentic to herself.
After flying with virtual wings for one week, the brain learns to accept the impossible
The human brain is an incredible organ, capable of constant adaptation and incredible flexibility. It can learn new skills and incorporate new experiences. And, according to a paper published in the journal ...
Germany learns the cost of provoking Trump
Friedrich Merz’s comments on ‘humiliated’ US have unleashed the president’s wrath
Good Sports: Bullard's Sam Makely relearns walking and baseball in hospital after traumatic crash
Anabaena Learns A New Trick - Cyanobacteria Surprise Scientists With Evolutionary Shift
Photosynthetic bacteria helped shape Planet Earth.
What the tech bros are getting wrong about longevity that you can get right
A whole industry revolves around longevity, but much of it misses the point. Kara Swisher learns what matters in the new CNN series, “Kara Swisher Wants to Live Forever.”
‘Nothing prepares you’: The invisible lives of carers in the UK
Thrust into the isolated world of caring, a daughter learns how other sole carers cope, some under immense strain.
Turn the Page with Paige: ‘St. Louis Sports for Kids’ by Joey Zanaboni
You hear it all the time - St. Louis is a sports town. But it’s only going to stay that way if the next generation learns the love of the game.
Gemini for Home finally learns to cut the chatter and focus on the job
Gemini for Home is getting quicker responses, less verbose replies, and smarter alarms in the latest Google Home update.
3L Kevin Afiesh Learns to Translate Legal Risk Into Business Strategy as FinTech Extern - UC Law San Francisco (Formerly UC Hastings)
3L Kevin Afiesh strengthened his corporate and fintech skillset through an externship at Plaid, gaining real-world experience at the intersection of technology and financial services. 3L student Kevin Afiesh shares how UC Law San Francisco’s Corporate Counsel Externship provided immersive, practice-ready training inside Plaid’s in-house legal department. Reviewed and analyzed technology-focused agreements, including emerging AI provisions and liability terms Explored financial services regulation and data governance within a growth-stage company Learned how internal legal teams shape product, partnership, and compliance planning 3L student Kevin Afiesh: During my externship at Plaid, I worked with the in-house legal team supporting a rapidly growing company at the intersection of technology and financial services. My work focused primarily on corporate, commercial, and intellectual property matters. I helped review and analyze vendor and partnership agreements, paying close attention to emerging artificial intelligence-related provisions and risk allocation terms. I also investigated regulatory and compliance issues involving financial services and data governance, and I researched intellectual property litigation relevant to fintech companies. This work supported legal risk assessment to guide strategic decision making. I learned firsthand how an in-house legal team operates in a highly regulated, innovation-driven environment, where legal analysis is closely integrated with business decision making. I saw how attorneys balance legal risk with commercial priorities and how their advice shapes contracting, compliance, and intellectual property strategy. It reinforced that effective in-house lawyers need to understand both the law and the operational realities of the business. The experience also strengthened my ability to communicate complex legal concepts clearly to non-lawyers and to provide advice that is precise, practical, and commercially aware. Throughout my academic and professional journey, I’ve worked with technology companies at different stages. Plaid added a distinct perspective within the tech ecosystem, showing me how a growth-stage fintech company approaches regulatory complexity, innovation, and risk tolerance. This sharpened my ability to adapt to clients with different structures, priorities, and compliance needs. As I prepare to practice corporate law in the technology industry, this exposure has strengthened my ability to align legal advice with a company’s stage of growth, strategic objectives, and internal dynamics. I would absolutely recommend the Corporate Counsel Externship Program. Working directly with an in-house legal team provided a meaningful sense of day-to-day practice inside a technology company, and the attorneys at Plaid were generous with their time and mentorship. The classroom component was equally valuable. Professors Nira Geevargis and Scott Darling created a thoughtful environment where we reflected on our experiences, discussed real-world challenges, and developed practical skills that complemented our fieldwork. More broadly, UC Law San Francisco’s location offers a clear advantage for students interested in technology, corporate practice, and public-interest work. Proximity to courts, law firms, and innovative companies — combined with programs like the Corporate Counsel Externship and an extensive Bay Area alumni network — make it a strong option for students who want to build their careers in the region. The Evidence of Success series highlights UC Law SF students as they share how the college’s opportunities equip them with the experience, skills, and confidence to excel in the legal profession.
KWQC sports team learns how to curl at Cedar Rapids Curling Club
KWQC’s Joey Donia and Kevin Kohr went to the Cedar Rapids Curling Club for a lesson on how to curl.
UNC learns 2026 football opponents with schedule release
The North Carolina Tar Heels got a step closer to their 2026 football season, thanks to the ACC announcing a schedule release for all 17 teams.
Houston Cougars 2026 schedule release, notes, and trivia
Houston learns its 2026 Big 12 schedule, shortly after finishing ranked in a breakout 2025.
Robot learns to lip sync by watching YouTube
Almost half of our attention during face-to-face conversation focuses on lip motion. Yet, robots still struggle to move their lips correctly. Even the most advanced humanoids make little more than muppet ...
Friday letters: Reading, giving, politics, civic engagement and more
Why letters still matter When we write letters to the editor, what is our intent? Who is the audience? Who reads? Who learns something and changes their mind? I recently heard that fewer than 2%...
AI learns to build simple equations for complex systems
A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern some of the most complex dynamics found in nature and technology.
Arkansas parents voice concerns over voucher changes affecting homeschool sports funding
Educators and parents are reacting to proposed changes to Arkansas' school voucher program, known as the Educational Freedom Accounts, as lawmakers look to fine