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104.5!? Jacob Misiorowski sets velocity record in unbelievable first inning
Jacob Misiorowski delivered arguably the most ridiculous inning by a starting pitcher ever in the first inning against Philadelphia
FromSoftware Shareholders Push for More Sequels, But President Wants to Create "Valuable Games"
FromSoftware president is standing by his approach, despite pressure from shareholders for more sequels to the studio’s most popular games.
RPG Maker forum users are racing to archive almost 15 years of valuable resources, as game engine maker announces impending move
With a transition to a new forum planned, years of posts, private messages, and accounts will all be wiped this December.
City Council Business Meeting on June 16, 2026, at 9:00 a.m.
The Palm Coast City Council meets regularly to discuss and vote on official City business. These meetings are open to the public, and Palm Coast residents are strongly encouraged to attend. An increase in public engagement helps to build a stronger sense of community, increase valuable discussions, and decrease division.
Elden Ring, Bloodborne Developer FromSoftware Rejects Investors Demand For Safer Sequels, As They Will Continue To Deliver Valuable Games
Elden Ring director Hidetaka Miyazaki is pushing back against investor demands for "safe" sequels to protect the studio's creative freedom.
I’ve spent 40 years in research. I have never seen a threat to science like the new grantmaking rule
“American science is too valuable to be turned into a political football,” writes David J. Skorton, president of the Association of American Medical Colleges.
I’ve spent 40 years in research. I have never seen a threat to science like the new grantmaking rule
“American science is too valuable to be turned into a political football,” writes David J. Skorton, president of the Association of American Medical Colleges.
Roundup: BREC millage / New gas pipeline / Screwworm in pets
Partnership backing: The Greater Baton Rouge Economic Partnership supports renewing BREC’s parks and recreation millage on the June 27 ballot, saying parks and trails are key to quality of life and economic growth. Leaders say the renewal will help maintain a valuable community asset while BREC undergoes a leadership transition. They emphasize the importance of […]
CD&R Engages Former Enovis CEO as Operating Advisor — Clayton Dubilier & Rice, LLC
We are a global private equity manager that invests in and builds valuable businesses.
Senior Dog With Dementia Makes a Valuable Contribution to Science of Aging
Ralph spent years bringing joy and comfort to the Rowe family, but his impact extended far beyond his home. After developing dementia in his later years, the senior dog became part of a research effor...
Vanderbilt Health and UAB partner to help more clinicians use genomic medicine in everyday care
The project will create a genomic eConsult service that allows clinicians to ask practical questions about genetic testing and interpretation.
Interventional radiology training programs should return to in-person interviews, association says
“Interventional Radiology training inherently involves specialty-specific characteristics that make in-person interviews particularly valuable,” the APDIR contends.
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.
'The Diary of a CEO' host Steven Bartlett's best business advice
"Hot Smart Rich" host Maggie Sellers Reum got an investment from "The Diary of a CEO" star Steven Bartlett and valuable advice.
Failure is the foundation of science
Amanda Gardiner reflects on why failure is an essential and valuable part of scientific research
Kansas City Chiefs: ESPN Expert Drops Major Patrick Mahomes Prediction
Patrick Mahomes and the Kansas City Chiefs are once again entering a season with championship expectations, but one prediction has elevated the conversation surrounding the star quarterback even further. An NFL analyst recently projected that Mahomes will capture the third Most Valuable Player award of his career during the 2026 season, a forecast that underscores […] The post Kansas City Chiefs: ESPN Expert Drops Major Patrick Mahomes Prediction appeared first on Gridiron Heroics.
Check out Grêmio players with contracts nearing expiry
The break in the sports calendar for the World Cup will give Grêmio’s board valuable time to get things in order.The main focus behind the scenes is defining the future of key players in Luís Cast...
Greatest QB in Wisconsin Badgers history officially retires from NFL
Arguably the greatest quarterback in Wisconsin Badgers history, Russell Wilson, has announced his NFL retirement.
Powering Appalachia Expo connects business owners to valuable resources
Business owners from across the Mid-0hio Valley attended an expo aimed at connecting them to valuable resources.
Eli Lilly's top dealmaker says don't be surprised to see more M&A that pushes Lilly into new areas
Eli Lilly's new top dealmaker explains how the company changed its approach to M&A now that it's the most valuable pharmaceutical company in the world.
Gallup Study on Business Ownership Offers Valuable Insights - Small Business & Entrepreneurship Council
by Raymond J. Keating – A new study from Gallup study drives home the central points that business ownership comes with tremendous potential benefits, as well as daunting challenges. It also provides insights in other areas, such as small business and artificial intelligence (AI). As noted in the report’s opening: “Business owners describe an increasingly […]
4 reasons to start a business in your 50s
At 50, you’ve earned the relationships, made valuable mistakes, and know your own voice.
CNN Just Sued Perplexity. Every Business Leader Should Be Paying Attention
Artificial intelligence companies are quietly consuming your company's most valuable asset. Here's what some leaders are doing about it.
Knicks’ Jeremy Sochan Provides Important Intel on Victor Wembanyama
While Jermey Sochan is unlikely to take the court for any meaningful minutes in the NBA Finals, he does have some valuable intel.
Yankees' Carlos Lagrange Outlook is Positive for Near-Future Debut
With Major League Baseball's trade deadline only getting closer, as it's set for the beginning of August, there are plenty of questions about what the New York Yankees are going to do. The Yankees, who have arguably been the best team in the American League outside of a rough patch throughout parts of May, have to feel rather confident about what they can do come October as long as they make the right decisions at the deadline.
The Ferrari Luce backlash is making the brand's classics more valuable
The backlash to Ferrari's new EV, the Luce, has been good for one collector, stirring fan passion and driving up the value of classic Ferraris.
Kimball-Cooke Insurance of Athol marks 90 years in business
Kimball-Cooke Insurance, a locally-owned and community-involved business in Athol since 1936, offers a wide range of insurance products and services to its customers in the North Quabbin region.
New solar desalination breakthrough makes fresh water without toxic brine
Scientists have developed a solar desalination system that turns seawater into drinking water without creating environmentally damaging brine. Special laser-textured metal panels use sunlight to evaporate water while automatically moving salt deposits away from the working surface, preventing clogging. The process was successfully tested with water from three oceans and can recover nearly all salts as solids. Those leftover materials could even become a source of valuable lithium for batteries.
Ukraine tells West: Drone command centers must be mobile, underground
Drone command centers, units, and operators are highly valuable targets, so Ukraine keeps them mobile and underground.
Looking For Sports Gems in the Antiques Capital of the Country
Tony looks to unearth sports valuables in Lancaster County
Study shows low cardiovascular health in American pregnant women: here’s how to maintain it
Study shows low cardiovascular health in American pregnant women: here’s how to maintain it
What Your Pregnancy Can Reveal About Your Future Heart Health
A history of preeclampsia doesn’t mean heart disease is inevitable, but experts say it’s valuable information that can help guide prevention, postpartum follow-up and lifelong heart care.
Seminole State College to get 'transformational' $10M in state budget to expand nursing program
'This is arguably one of the best nursing schools in the country.'
Millender Center’s retail businesses asked to leave
The Bedrock LLC-owned Millender Center, built in the 1980s immediately across from the RenCen, is emptying of tenants.
This surprisingly spacious anti‑theft convertible backpack makes traveling and commuting easier
I’ve been using this affordable backpack for long weekend trips and as my daily work bag for over three years to keep my valuables protected.
Trade Target: Red Wings’ Center Problem Needs Attention
The post Trade Target: Red Wings’ Center Problem Needs Attention appeared first on Detroit Hockey Now. Arguably, the Detroit Red Wings possess the deepest pool of goaltending prospects in the NHL. In future considerations, the team […] The post Trade Target: Red Wings’ Center Problem Needs Attention appeared first on Detroit Hockey Now.
Jonisa McBride joins UGA SBDC to champion Southeast Georgia small businesses
Navigating the evolving economic landscape will be a key focus for businesses in Southeast Georgia, with Jonisa McBride now leading the charge at the UGA Small Business Development Center in Statesboro. Her commitment to community leadership and proven track record in business development offer a valuable resource for entrepreneurs.
Why big brands are turning to vanilla from Uganda
Vanilla is so valuable that it's been called "green gold." Uganda is quickly emerging as vanilla's next big player.
Rediscovering science: New knowledge hidden in old data
What if the knowledge that could fuel the next scientific breakthrough has simply been forgotten in an old graph or table? Valuable scientific insights may already exist across decades of published experiments, ...
I Saw a $40M Revenue Business Say No to a Peak Exit — and Watched Its Valuation Get Cut in Half After "One More Year." Here's How to Get Timing Right
Every company has a moment when it's most valuable. The question is whether you'll recognize it or watch it pass. Timing is 50% of the value.
Dental science takes flight: UAB crafts prosthetic beak for Birmingham Zoo bird
Dental science takes flight: UAB crafts prosthetic beak for Birmingham Zoo bird
Maserati Has No Business Outsourcing to China
As China becomes the auto industry’s main innovation center, global carmakers wanting the most advanced technology should be embracing its supply chains. But there is an exception: heritage brands. Doing so could dilute the very identity that makes them valuable.
What the Indy 500 Reveals About the Future of Live Sports
Darden professor Anthony Palomba discusses he economics behind the Indy 500’s resurgence, what broadcasters are learning about Gen Z audiences and why live sports remain one of television’s most valuable assets.
Rousey's return draws US-record MMA viewership for Netflix
The first live MMA event broadcast on Netflix — featuring a double-comeback bout between Ronda Rousey and Gina Carano — attracted the most U.S. viewers in the sport's history. Netflix and Jake Paul’s Most Valuable Promotions reported on Tuesday that Saturday's event in Inglewood, California, drew as many as 17 million viewers worldwide, including a peak of 11.6 million in the U.S. The U.S. figure surpassed the previous MMA record of 8.8 million in 2011 for UFC on FOX 1.
Materials scientist gains valuable research experience
The opportunities at the College of Engineering and Applied Science are what attracted Ananth Balasubramanian to the University of Cincinnati. He came to UC as a master's student and after two years, transitioned to a direct PhD program in materials science and engineering. Here, he works in the Digital Fabrication Laboratory and recently was named Graduate Student Engineer of the Month by CEAS.
Scientists use light to create tiny molecules that could transform medicine
Researchers have developed a light-driven method for creating tiny, high-energy “housane” molecules that are valuable for drug development and materials science. These compact ring-shaped structures are difficult to produce because of the intense internal strain they contain. By using photocatalysis and carefully tuning the starting molecules, the team managed to guide the reaction into a clean and efficient pathway.
Cheer on UAB’s top alumni business leaders at 2026 Blazer Fast 40 awards June 5
Cheer on UAB’s top alumni business leaders at 2026 Blazer Fast 40 awards June 5
Science behind sobriety field tests
Albany High students in Elizabeth Lopatniuk's health classes participated in a dynamic lesson about the effects of alcohol on the body. After taking an in-depth look at the science behind why and how alcohol slows the activities of the brain and central nervous system, students learned about how a variety of factors can impact the level of intoxication and how blood alcohol concentration can impair one's ability to operate a motor vehicle. Albany High Student Resource Officer Nick Schuler led students through an overview of field sobriety tests that are routinely performed during a traffic stop when an officer suspects a driver may be under the influence of alcohol. Officer Schuler explained the three elements of a physical sobriety test, including walking a straight line with turns and checks for motor skill patterns, standing on one foot to check for balance and following a moving stimulus with eyes only to check for Horizontal Gaze Nystagmus (HGN), an involuntary, rhythmic jerking of the eyes as they look to the side. Students volunteered to try walking a straight line both with and without alcohol impairment simulation goggles. Officer Schuler pointed out particular behaviors and patterns that would lead to a failed field sobriety test during the simulation. As prom and graduation festivities approach, we applaud our Albany High staff for empowering our Falcons with valuable lessons so they can make wise and safe choices.
Science behind sobriety field tests
Albany High students in Elizabeth Lopatniuk's health classes participated in a dynamic lesson about the effects of alcohol on the body. After taking an in-depth look at the science behind why and how alcohol slows the activities of the brain and central nervous system, students learned about how a variety of factors can impact the level of intoxication and how blood alcohol concentration can impair one's ability to operate a motor vehicle. Albany High Student Resource Officer Nick Schuler led students through an overview of field sobriety tests that are routinely performed during a traffic stop when an officer suspects a driver may be under the influence of alcohol. Officer Schuler explained the three elements of a physical sobriety test, including walking a straight line with turns and checks for motor skill patterns, standing on one foot to check for balance and following a moving stimulus with eyes only to check for Horizontal Gaze Nystagmus (HGN), an involuntary, rhythmic jerking of the eyes as they look to the side. Students volunteered to try walking a straight line both with and without alcohol impairment simulation goggles. Officer Schuler pointed out particular behaviors and patterns that would lead to a failed field sobriety test during the simulation. As prom and graduation festivities approach, we applaud our Albany High staff for empowering our Falcons with valuable lessons so they can make wise and safe choices.
New MatterChat Model Helps AI to ‘See’ the Language of Science
From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has succeeded by mastering one domain: text. However, this leaves a major blind spot in the physical sciences, where models depend on the high-resolution, three-dimensional data of the physical world, like the intricate lattice of atoms in a crystal. Delivering on the promise of using AI for science requires teaching these data-driven text models to seamlessly “talk to” physics-based models. Now, a new AI framework from Lawrence Berkeley National Laboratory (Berkeley Lab), called MatterChat, solves this problem by creating a specialized “bridge.” It connects the conversational power of a Large Language Model (LLM) with a physics-based AI that models “interatomic potentials”: the complex physical forces between atoms. The resulting system already significantly outperforms general-purpose AI tools like GPT-4 at predicting material properties, and the team hopes it can accelerate scientific discovery by serving as a robust research partner that provides grounded insights and generates step-by-step instructions for synthesizing novel materials. A paper describing this work was recently published in Nature Machine Intelligence. “Traditional simulations can provide the physical rigor required for materials science, yet their computational cost remains prohibitive for high-throughput screening. Conversely, while LLMs excel at rapid knowledge synthesis, they inherently lack the ‘structural vision’ to interpret materials directly from their underlying atomic coordinates,” said Yingheng Tang, a postdoctoral researcher in Berkeley Lab’s Applied Math and Computational Research Division (AMCR) and lead author on the paper. “MatterChat was built to solve this dilemma, empowering LLMs with a structural ‘vision’ that allows researchers to leverage their full potential for solving complex, real-world materials challenges.” Empowering language models to solve complex challenges in materials science To build MatterChat, the Berkeley Lab team drew inspiration from technologies like Vision Question Answering (VQA) and Text-to-Image (T2I) generation. In these tasks, AI must translate high-level text concepts into visual images, or vice versa. Doing so requires developers to build tools that “bridge” two fundamentally different forms of data. The researchers adapted this concept to the physical sciences. With MatterChat, they created a “bridge model” that successfully connects an LLM’s general knowledge with the deep understanding of the atomic-scale world encoded in scientific interatomic potentials. Until now, researchers using LLMs to solve materials problems usually had to feed them raw data files as if they were just strings of text. It’s like asking an AI to understand a complex 3D engine based only on a parts list: the LLM can read the names, but it can’t “see” how the atoms fit together in space. MatterChat solves this by training a specialized AI bridge model, pre-trained on millions of crystal structures and an LLM, to align the LLM’s representation of the world with the interatomic potential’s representation of the world. The bridge model can translate physical insights into a format the LLM can actually understand. By giving the LLM these “scientific eyes”— a scientific “inductive bias” in the terminology of AI — the Berkeley Lab team has transformed it into a robust research tool capable of providing grounded scientific insights into complex materials challenges, such as predicting thermal stability or analyzing electronic band gaps. “We think of atoms as living in a physical space, but from a machine learning perspective, they are just vectors living in some very non-trivially structured manifold in a high-dimensional Euclidean space; and, of course, the same is true for the sentences and paragraphs that we use to express our ideas about those atoms,” said co-author Michael Mahoney, Berkeley Lab’s Scientific Data Division (SDD) AI Initiative Research Lead. “The bridge model basically gets those two structures to ‘talk with’ each other.” As a proof-of-concept of this general approach, the team trained their bridge model on a dataset curated by pairing nearly 143,000 stable atomic structures from the Materials Project with their corresponding physical properties. This training data was automatically assembled using the Materials Project’s API and deliberately enriched with properties fundamental to microelectronics design — like formation energy and bandgap — allowing MatterChat to learn the complex patterns connecting a material’s atomic blueprint to its functional performance. To validate their model, the researchers benchmarked MatterChat against a suite of other AI systems, from general-purpose LLMs to other specialized scientific AI methods. The results show that MatterChat consistently outperformed its competitors across a range of tasks. The model was more accurate in classifying material types and demonstrated superior precision in predicting numerical properties. For example, it excelled at predicting a material’s bandgap, a property critical for designing new electronics from high-capacity energy storage to next-generation computer chips. “Our design is significantly more efficient because we don’t have to build a massive AI model from the ground up,” said co-author Zhi (Jackie) Yao, a research scientist in Berkeley Lab’s AMCR. “Instead, we take two powerful, pre-trained models — a structural encoder for materials physics and an open-source LLM — and use them off-the-shelf. The only component we actually train is the lightweight ‘bridge model’ that translates between them. It’s the difference between building an entire car factory and simply designing a smart adapter that connects a world-class engine to a world-class navigation system. This approach is not only computationally efficient, but also makes the system modular, so we can easily upgrade components or adapt the bridge for other scientific domains in the future.” Crucially, this modular design highlights exactly how institutions like Berkeley Lab and the Department of Energy are carving out a highly valuable niche in the booming AI landscape. Rather than competing with Silicon Valley tech giants to build ever-larger language models from scratch, the lab is focusing on the specialized connective tissue that makes commercial AI useful for hardcore science. Because the bridge model approach underlying MatterChat is forward-compatible, it is perfectly positioned to leverage these parallel tracks of innovation. As Mahoney pointed out, “We expect that industry will continue to develop improved LLMs, and we expect domain scientists and facilities will continue to generate new data. An important part of scientific machine learning is not simply to solve problems on today’s data, but instead to develop general methods that will be forward-compatible with orders of magnitude more data, whether from scientific domains or from LLMs.” According to Yao, the MatterChat project, which was initially developed and enhanced with funding from a Berkeley Lab Laboratory Directed Research & Development (LDRD) Program, will now expand its capabilities. In a collaboration with Fermilab, MatterChat is already contributing to a U.S. Department of Energy Genesis Mission project — called Accelerating eXtreme Environment Specs-to-Silicon (AXESS) — that aims to speed up the development of next-generation, high-speed, radiation-hardened detectors for challenging particle physics experiments by using advanced 3D integrated circuits (chiplets) and AI-driven data analysis. In addition to the LDRD support, the team also credits supercomputing resources at the National Energy Research Scientific Computing Center (NERSC), located at Berkeley Lab, with MatterChat’s success. “We are incredibly grateful to NERSC; this research simply would not have happened without access to the Perlmutter supercomputer through their AI for Science program,” said Tang. Wenbin Xu, a NERSC postdoctoral fellow at the time, was also a major co-author of the work, as was Benjamin Erichson, a research scientist in Berkeley Lab’s SDD, highlighting the benefits of AMCR-SDD collaboration on AI for science. ### 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.
Paul McCartney says Beatles classic unites audiences 'in Trump’s America' despite political divide
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Ronda Rousey entered Gina Carano fight injured
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Leaders come and go; companies rise and fall. In business, change is the constant.
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CBL Scholars Program Opens Pathways to Business Law Careers - UC Law San Francisco (Formerly UC Hastings)
First-year law students and 2026 CBL Scholars Deniz Masjedi, Alvaro Flores, and Tavia Pappaly gain mentorship connections with leading industry professionals as they prepare for careers in business law. Created by the UC Center for Business Law San Francisco (CBL), the CBL Scholars Program aims to develop the next generation of business law leaders, supported by contributions from individuals and corporate sponsors. The highly competitive program provides funding along with academic and professional mentorship to students from disadvantaged backgrounds. Scholars gain exposure to the Bay Area’s technology and venture capital ecosystems and access to UC Law SF’s broad network of senior legal professionals. Now in its sixth year, the CBL Scholars Program provides a scholarship and academic and professional mentorship to students entering the business law community from disadvantaged educational, economic, social, or physical backgrounds. The program is generously sponsored by the law firms Gunderson Dettmer and Goodwin Procter. Meet this year’s CBL Scholars: Deniz Masjedi, Alvaro Flores, and Tavia Pappaly. All three have secured summer associate positions at prestigious law firms. Deniz Masjedi: A Passion for Helping Founders Grow Companies Deniz Masjedi, who was born in Iran and moved to Southern California as a teenager, traces her interest in law to her family’s immigration journey and her desire to advocate for herself and her family. She earned a bachelor’s degree at UC Berkeley, where she studied political science and sociology. At UC Law SF, she serves as a 1L representative for the Iranian Law Students Association and is active in the Business Law Society and Technology & Law Society. Next fall, she will serve as director of mentorship for the Technology & Law Society and director of professional development for the Business Law Society. She will join Sidley Austin this year as a 1L/2L summer associate. Q: What draws you to business law? A: Prior to law school, I worked in Cooley LLP’s Private Companies practice group as a corporate paralegal for three years, supporting over 100 venture-backed startups and venture capital funds. I found purpose in helping founders transform their vision into successful companies. It was incredibly rewarding being part of their journeys—from company formation and initial financing to major transactions such as M&A deals. What excites me most about this field is the potential for a small, innovative company to become the next Google or Zoom, shaping how people communicate and access information. I hope to continue supporting entrepreneurs and investors as a corporate attorney. Q: What does it mean to you to have been awarded this scholarship? A: As the first person in my family to attend law school in the United States, receiving this scholarship is a tremendous honor. My parents and I left everything behind so that I could enjoy the freedom to practice my religion without persecution and pursue a career in law as a woman. This award is an acknowledgment of my dedication to business law and motivates me to continue pursuing excellence in this field. It also recognizes years of hard work—learning a new language, navigating the college and law school application process, and ultimately building a career in the legal profession. Q: How will this scholarship help support your future goals? A: This scholarship will provide access to mentorship from leaders in the field, enabling me to develop the skills necessary to offer practical advice and effective representation to future clients. It also eases the financial burden of law school, letting me focus on my coursework and deepen my commitment to corporate law. As an immigrant, breaking into the legal profession has not always been easy, and the time that mentors have invested in me has been instrumental to my progress. This scholarship will allow me to continue building those relationships while positioning me to one day mentor others pursuing similar paths. Alvaro Flores: Inspired by Entrepreneurs The son of Mexican immigrants raised in San Antonio, Texas, Alvaro Flores says he has long been interested in how policy, markets, and culture shape society. He studied international relations and global economy at the University of Southern California, with minors in business finance and legal studies. His experiences span local political organizing, venture capital and startup work, and teaching entrepreneurship. At UC Law SF, he is involved in the Business Law Society, Technology & Law Society, and the Latinx Law Student Association. He will join Perkins Coie as a 1L/2L summer associate with the firm’s Emerging Companies & Venture Capital practice. Q: What draws you to business law? A: I’m drawn to stories of entrepreneurs whose simple ideas become companies that shape the economy and society. Spending time in venture capital and working directly with founders has shown me that many important decisions in the scaling process are ultimately legal ones, particularly how companies are structured and how capital is raised. Business law sits at the intersection of innovation and equity. It offers a way to stay close to the pace of technological change while also helping expand who gets to participate in it. There is something special about being part of that process here in the Bay Area, where the American Dream feels like it is reimagined in real time. Q: What does it mean to you to have been awarded this scholarship? A: I am truly grateful for the support and belief this scholarship represents. I see it not just as recognition, but also as alignment. The CBL Scholars Program’s focus on developing individuals who engage deeply with the business and technology ecosystem reflects the path I have been intentionally building. More than anything, it feels like an investment in that journey. I have been thoughtful about each next step–whether teaching, working in venture capital, or building multidisciplinary experiences–and this scholarship reinforces that those efforts come together in a meaningful way. Q: How will this scholarship help support your future goals? A: It allows me to focus more on developing as a business lawyer, without the distraction of financial constraints. Beyond that, the mentorship and access to the Bay Area network are just as valuable. I’m especially interested in working with early-stage companies and investors, so the opportunity to learn directly from people operating at a high level in that space is huge. Tavia Pappaly: Working in the Wine Industry Sparked Interest in Business and Law Tavia Pappaly spent five years in the wine industry before deciding to pursue law school with a goal of becoming a corporate transactions attorney. Pappaly says she wants to use her legal skills to help business grow and thrive. A first-generation law student from Fairfield, California, she is a member of the Legal Education Opportunity Program (LEOP) and will serve as vice president of social planning for the UC Law SF Sports Law Society in her 2L year. She plans to work as a summer associate at Gibson Dunn in San Francisco after her 2L year. Q: What draws you to business law? A: Business law brings together many of my interests and personal experiences. As the daughter of immigrants who grew up around a family-owned small business, I saw firsthand both the opportunities and challenges of building something from the ground up. That perspective, combined with my experience in the wine industry, solidified my interest in helping businesses of all sizes tackle evolving legal challenges. I’m excited to grow within the corporate law space and develop the skills and experience to support businesses at every stage. I’m deeply motivated to give back to immigrant communities and small business owners, whose experiences often intersect. By building a strong foundation in corporate law, I hope to support those working to create generational stability and to contribute in a meaningful way to the communities that have shaped me. Q: What does it mean to you to have been awarded this scholarship? A: Receiving this scholarship is incredibly meaningful to me. I take great pride in my background as a first-generation student and a woman of color, so being recognized for my potential in a field that has historically underrepresented those communities is both affirming and empowering. This program will help connect me to the resources and committed mentors that will help me succeed. Beyond that, it is no secret that law school is a significant financial commitment. This scholarship helps ease both the financial burden and the stress that comes with it, allowing me to focus more on my education and long-term goals. I am incredibly grateful! Q: How will this scholarship help support your future goals? A: This scholarship has already connected me with an incredible network of faculty, business law professionals, and like-minded students. The community fostered by the Center for Business Law is deeply supportive, and I’m excited to grow alongside my cohort. I truly believe this network will play an important role in helping me thrive in law school and position me for success in business law. As I have seen firsthand how impactful both financial scholarship and mentorship are, I hope to give back in this same way later in my career.
New UAB startup seeks to scale sustainable change in health care systems
New UAB startup seeks to scale sustainable change in health care systems
Artificial scientists
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Wembanyama wins NBA defensive player of the year
San Antonio Spurs star Victor Wembanyama was named the NBA's defensive player of the year on Monday, becoming the first unanimous winner in the award's 43-year history.Mixing prodigious defense with a potent offense, Wembanyama has excelled again this season and is regarded as one of the front-runners for the NBA's Most Valuable Player award.
Free small business financing, support workshop scheduled in Kailua-Kona
It is a valuable opportunity to learn about funding pathways and connect directly with experts who can support the next steps of small businesses; only several spaces remain, so don’t wait, register today.
Gilgeous-Alexander, Wemby, Jokic finalists for NBA MVP
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Known in New Orleans, multimedia artist will take the world stage in Venice Biennale
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Why NASA’s Cheapest Missions Produce the Least Science
To say NASA has been undergoing some massive administrative changes lately is a huge understatement. One of the more concerning ones, according to a new paper at the 57th Lunar and Planetary Science Conference by Ari Koeppel and Casey Dreier of the Planetary Society, is the trend towards the Silicon Valley mindset of “move fast and break things” - which they argue doesn’t work very well when it comes to producing valuable science.
UNC Hussman offers new sports play-by-play class | UNC Hussman School of Journalism and Media
This story, written by UNC Hussman alumna Caroline Daly ’24, was originally published on unc.edu. The UNC Hussman School of Journalism and Media has a new, hands-on class available for students interested in sports careers. Students in “MEJO 390: Sports Commentary and Play-By-Play” can call live radio broadcasts for Carolina sporting events, streamed live on the Go Heels website. This spring, 11 students are calling mostly softball games to gain experience and learn the preparation needed for a successful broadcast. The class is capped at a small number to provide consistent, individual feedback. Matt Krause, the radio voice of Carolina women’s basketball, teaches the class to help students sharpen their skills, using his experience with the Tar Heels and calling games for ACC Network and ACC Network Extra. “There is no substitute for live reps, and that is the only way you get better. The classroom component teaches you how to get better, but going about that requires sitting in that chair, making mistakes and being able to know your broadcast is going somewhere,” Krause said. “These students are doing real live games, and they will have tape where if they want to pursue this. They will have ready-made demos to send for jobs. Being able to utilize all the resources of UNC, GoHeels Productions and the Carolina Athletics brand and create these opportunities for students is really impactful.” In the class, students learn fundamentals like how to announce starting lineups for different sports and how to conduct research before games. Krause has led the class in mock preparation exercises, looking at game charts with information about the different teams and players that they can refer to at pivotal moments during the game. Krause and the students then critique each other, listening to clips from the past week to find ways to improve. It’s a rare class without a slew of quizzes or assignments. Their main tasks are calling games and making a portfolio or demo reel of their best calls at the end of the semester, all with the goal of being ready to step into similar roles after graduation. Laible live streams her coverage on the GoHeels website. Calling a live game while broadcasting her coverage allows her to get hands on experience. (Jon Gardiner/UNC-Chapel Hill) Junior Anna Laible ’27 wished for a class just like this. Her first year at Carolina, she interned with the Coastal Plain League, where she was introduced to play-by-play for baseball. “I enjoy the challenge and uncertainty of each game being different because each sport looks a little different,” said Laible. “Each game is different — not just with teams but what could happen with certain records being broken or random trends. That’s what I enjoy most.” She wanted more opportunities for reps during college to prepare for a career after Carolina, so she pitched an idea for the class to Livis Freeman ’99, distinguished associate professor of sports communication. Laible and Freeman reached out to GoHeels Productions for a partnership and then connected with Krause. “This is how at UNC Hussman we separate ourselves: Our students go into the field ready,” said Freeman. “The biggest compliment we get it is when our students start their careers, they don’t need any hand-holding.” Laible calls a Carolina softball game at Kessing Stadium – after pitching the idea to Hussman faculty. Her interest in sports commentary allowed her to apply her interest as she attends Carolina. (Jon Gardiner/UNC-Chapel Hill) Laible is now a student in the class, which has helped her strengthen her skills and deepen her passion for the field. The goal is to expand to other sports like soccer, lacrosse and field hockey. “The hands-on experience I’ve gotten here is invaluable. I’ve loved the classes and professors because they’ve taught me a lot, but it’s also the things outside of class, too, that have helped me grow,” said Laible. “Since being at UNC, I’ve grown a lot in the versatility, from doing writing to production and commentating. UNC Hussman and Carolina have given me the ability to be strong and well rounded.”
The science behind the flu
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Current Capital One Venture Business welcome bonus offer
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