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Results for " learn " 3,348 found 🔀 AI-powered Shuffle

ConsentFix and ClickFix: How Microsoft 365 Accounts are Hijacked in 3 Seconds

ConsentFix and ClickFix attacks steal Microsoft 365 tokens in seconds using fake prompts and OAuth flows. Learn how these MFA bypass tactics work and how to defend against them.

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Jul 2 • 6:00 AM EDT • Technology • bleepingcomputer.com
Science achievement is not a one-year event

Educational systems often encourage leaders to focus on immediate science achievement while science learning unfolds over many years.

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Jul 2 • 6:00 AM EDT • Science • eschoolnews.com
Vinton Cerf says AI must learn these 3 lessons

From standardization to turning a product into a platform, Vinton Cerf said there are lessons AI must learn from the internet boom.

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Jul 2 • 12:02 AM EDT • Business • businessinsider.com
UP libraries host Super Science Fest this week

Kids learned about animals, science, and art while beating the summer heat.

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Jul 1 • 7:27 PM EDT • Science • uppermichiganssource.com
US decides not to renew USMCA trade pact, will seek separate deals with Canada, Mexico

President Trump has opted against the U.S.-Mexico-Canada Agreement (USMCA) and will instead pursue separate trade deals with the two major trading partners, FOX Business has learned.

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Jul 1 • 12:18 PM EDT • Business • foxbusiness.com
DOOM: The Dark Ages Goes Supersonic With New DLC Chain Spear

DOOM: The Dark Ages | Revelations is its first major DLC, showcasing a versatile new Chain Spear. Read more inside to learn about the deep movement tech it adds to the game:

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Jul 1 • 10:00 AM EDT • Technology • news.xbox.com
The 4 Skills That Matter Most In Global Business Today

Learn the four essential skills for cross-cultural communication, global leadership, and building trust across cultures in today's increasingly global workplace.

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Jul 1 • 8:10 AM EDT • Business • forbes.com
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University of Phoenix to launch three-year Bachelor of Science in Criminal Justice Administration for experienced professionals

/PRNewswire/ -- University of Phoenix announces today that it has received approval from the Higher Learning Commission (HLC), hlcommission.org, to launch its...

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Jul 1 • 8:00 AM EDT • Science • prnewswire.com
Students Explore Science And Research At Fourth Annual Discovery Day

Local students joined Cincinnati Children’s Discovery Day to explore research labs, meet scientists, and learn about careers in science and medicine.

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Jul 1 • 7:54 AM EDT • Science • scienceblog.cincinnatichildrens.org
Exploring STEM Futures through UConn 4-H’s Biotechnology Club

The Biotechnology Club is intentionally designed to complement classroom learning and prepare Connecticut students to enter the skilled, science-literate wo ...

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Jul 1 • 7:20 AM EDT • Science • today.uconn.edu
Kitchen workshops stress dairy’s role in health

Learn more about Kitchen workshops stress dairy’s role in health, News and College of Health Sciences. Texas Woman's University (TWU) is the nation's largest un

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Jul 1 • 6:35 AM EDT • Health • twu.edu
Why Some Businesses Sell For Millions While Others Never Sell At All

Learn why some businesses sell for millions while others never sell, and discover the key factors buyers look for before making an offer.

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Jul 1 • 5:00 AM EDT • Business • forbes.com
ER visits spiked around Boyle Heights during warehouse fire, public health data shows

While some residents say the smell of rotting food is improving, we are learning that ER visits nearby tripled during the warehouse fire.

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Jun 30 • 9:57 PM EDT • Health • abc7.com
Wilmington Small Business Coalition: Building Momentum in 2026 by Heather McWhorter

This article was contributed by Lydia Thomas, UNCW CIE Program Manager. North Carolina continues to be one of the best states to start a business and in 2025, Wilmington, North Carolina earned a spot on the GoDaddy list of the top 10 most entrepreneurial cities in the U.S. While many know Wilmington as small beach town with exceptional food, lots of coffee shops, and fun, vibrant summer activities, a closer look reveals a thriving innovation economy. You’ll find startups emerging across industries including software, healthtech, bluetech, and fintech. At the core of this entrepreneurial ecosystem is the Wilmington Small Business Coalition, with small business advocates and entrepreneur support organizations (ESOs) dedicated to helping founders grow, thrive, and succeed. “No Wrong Door” Established in 2016, the Coalition was designed to make it easier for individuals and small businesses to access resources most suited to their particular needs. The Coalition is designed to have a “no wrong door” entryway into the regional startup ecosystem. Whether you are exploring a new idea sketched on the back of a napkin or leading a more established, growth-stage company, Coalition members can help connect you with the programs, funding opportunities, mentors, and resources best suited to your needs. No matter where you are in your entrepreneurial journey, any Coalition organization can help point you in the right direction. Coalition Members and Leadership Coalition members include the UNCW Center for Innovation and Entrepreneurship (UNCW CIE), AARP, Brunswick Community College Small Business Center, Cape Fear Community College Small Business Center, Cape Fear Region SCORE, Genesis Block Foundation, Network for Entrepreneurs in Wilmington (NEW), Small Business & Technology Development Center (SBTDC), Greater Wilmington Chamber of Commerce, YWCA Living the Dream Center for Entrepreneurship, Carolina Community Impact Fund (CCI Fund), Partner Community Capital, 717mkt Office Collaborative, NC Biotech, and Institute NC. In May 2026, the Coalition held its leadership elections, resulting in the selection of a new executive team. The following officers were elected to serve two-year terms: Chair: Lydia Thomas, UNCW CIE Vice Chair: Diane Lantz, CCI Fund Secretary: Aariene Hansley, Genesis Block Foundation Treasurer: Gloria Monroe, SBTDC Vision for the Wilmington Small Business Coalition In 2026, the Wilmington Small Business Coalition continues its work as a collaborative network of organizations. By connecting programs, expertise, and services across partner organizations, entrepreneurs can more easily find the right support at the right time. Rather than operating in silos, the Coalition aims to function as a unified, cohesive system of support for small businesses and entrepreneurs, ensuring that resources and expertise across partner organizations are visible and accessible. Through stronger collaboration and shared pathways, entrepreneurs can move more seamlessly from idea to startup to growth. Looking to dive into the Wilmington entrepreneurial ecosystem? Connect with any of the Coalition partners to get started! Connect with CIE To learn more about CIE and our services, programs, and events, join the CIE newsletter. You can also follow us on social media: Instagram, Facebook, LinkedIn, TikTok, or YouTube. CIE’s website is uncw.edu/cie. Heather McWhorter is the director of the UNCW Center for Innovation and Entrepreneurship (CIE). CIE supports innovation-forward start-ups and helps to build a vibrant innovation economy for all in southeast NC.

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Jun 30 • 8:00 PM EDT • Business • wilmingtonbiz.com
New learning center to boost Great Lakes science programs as demand outgrows capacity
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Jun 30 • 7:17 PM EDT • Science • upnorthlive.com
Fly Phishing: How Business Aviation Can Fight AI-Supercharged Cybertheft

AI is making cybercriminals faster, smarter and harder to detect. Learn how business aviation operators can recognize emerging threats, defend against sophisticated phishing attacks and protect their aircraft, data and organizations.

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Jun 30 • 3:34 PM EDT • Business • nbaa.org
Rethinking “Soft” Leadership Skills in Public Health

Learn how public health leaders can leverage interpersonal skills to better navigate cross-sector partnerships in this blog post.

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Jun 30 • 12:00 PM EDT • Health • astho.org
Community Health Workers Learn Perinatal Outreach Approaches at UAMS Training

LITTLE ROCK — Twenty community health workers (CHWs) from across Arkansas recently gathered in Springdale with a shared goal: to build connections and learn how to better support mothers across the state. Hosted by the UAMS Institute for Community Health Innovation, the three-day Perinatal CHW Upskill Training provided interactive, hands-on…

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Jun 30 • 11:08 AM EDT • Health • news.uams.edu
This microbe turns into a cannibalistic ‘Hulk’

Euplotes gigatrox’s shape-shifting may reveal how early life learned to act in surprisingly complex ways.

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Jun 30 • 11:00 AM EDT • Science • sciencenews.org
The Satire, Autograph Collection | The Hotel Collection

Discover The Satire, Autograph Collection an American Express Travel Luxury Property. Learn More About The Offerings & Features of The Satire, Autograph Collection in Alexandria, Virginia US.

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Jun 30 • 7:14 AM EDT • Business • americanexpress.com
Lawsuit accuses businessman behind unfinished entertainment venue in Bryan of diverting company funds

The Schulman’s Movie Bowl Grille at Midtown Park is years behind schedule, and its owner is facing other legal issues, KBTX has learned

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Jun 29 • 10:44 PM EDT • Entertainment • kbtx.com
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Jaxson Dart Learning 2 New Skills from Giants ‘Enhancement’ Guru

Jaxson Dart is learning two new skills from an "enhancement" guru for the New York Giants. The post Jaxson Dart Learning 2 New Skills from Giants ‘Enhancement’ Guru appeared first on HEAVY.

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Jun 29 • 8:17 PM EDT • Sports • sports.yahoo.com
Northwest Earth and Space Science Pathways Project Celebrates Student Innovation Through ROADS from Earth to Venus National Challenge

The Northwest Earth and Space Science Pathways (NESSP) project recently concluded its 2025–2026 ROADS (Rover Observation And Discoveries in Space) from Earth

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Jun 29 • 6:05 PM EDT • Science • science.nasa.gov
Netflix and Superheroes Are Having a Rough Stretch on Streaming....

(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) I have a quick prediction before we start today’s article: You might see this data in future news articles. Not my specific charts or analysis, but the core trend I’ve been monitoring—Netflix is having a lackluster Q2—will become inescapable. Often, folks want to know “What does the data say?” Well, that’s what it says. I haven’t seen this analysis hit the trades really yet, but I have a feeling some other outlets are going to start making this case soon. Remember, you read it here first. You probably have read about the problems facing superhero films at the box office this weekend. Well, this week, I explore whether superheroes are dying on TV as well! And the data says: definitely maybe! We have a lot to cover in today’s Streaming Ratings Report, which covers the two weeks of 18-May and 25-May. Today, I’m just looking at TV, like Netflix’s disappointing Q2, superhero shows underwhelming, a few TV shows dropping off the charts, The Pitt finally ending its epic run on the viewership charts (and whether “view counts” change its status as one of the biggest shows of all time), all the flops, bombs and misses, and a whole lot more. Tomorrow, I’ve got a great rundown of the film side of things. Let’s dive right in! (Reminder: The streaming ratings report focuses on the U.S. market and compiles data from Nielsen’s weekly top ten viewership ranks, Luminate’s Top Ten Data, Showlabs, TV Time trend data, Samba TV household viewership, company datecdotes, Netflix hours viewed data, Google Trends, and IMDb to determine the most popular content. While most data points are current, Nielsen’s data covers the weeks of May 18th to May 31st, 2026. You can find a link to my terminology here.) Subscribe Television - Netflix’s Q2 Slump Continues Having analyzed streaming ratings for going on half a decade, I have learned to trust my gut, but I’m always relieved when I can find actual data to back it up. For example, after a string of very popular shows like Stranger Things, Bridgerton, The Lincoln Lawyer and The Night Agent came out, week after week, in January and February, my gut wondered if Netflix had enough new and returning TV shows to sustain them throughout the year. Since then, Netflix’s post-March slate of shows has not impressed me. This week seemed to feature a potential new hit, but then, like a classic Duffer Bros. TV show, there was a twist. I speak of The Boroughs, Netflix’s latest (and last) Duffer Bros. produced show. The pitch is “Stranger Things with older actors”. And it topped the Nielsen charts: With just two weeks of viewership, The Boroughs would have been a top 25 debut show last year: But here’s the twist: Netflix has already cancelled The Boroughs! What happened? Likely a few things. First, the show didn’t do as well globally as it did in the US. As What’s on Netflix showed, it lagged behind several other shows that got cancelled. Second, its completion rate was likely low; after an initial burst of interest, it quickly dropped off on the Samba TV and Luminate charts. Third, the Duffer Bros. left Netflix for Paramount, and that may have factored into Netflix’s decision here. (Though I tend to believe that if a show is doing well, Netflix would have kept greenlighting seasons.) Still, just because I can explain why Netflix may have cancelled this show doesn’t mean I’m justifying it. In particular, as I’ve noted before, Netflix is losing a lot of their bigger shows as they reach their natural ends, and they need to replace those shows. This show had the hallmarks of a big new genre show, and it’s their biggest hit of the last few months (in the US at least), but now it’s done. Netflix’s other show this week—The Four Seasons, the second season of the “hit” show from last year—definitely disappointed. Its sophomore season had about half the viewership of the first, only 12.7 million hours. It also only had a two week run on Samba TV, and its numbers were all down on Luminate too. In other words, even with two successes, the Q2 slump for Netflix looks real: I could add to the list of disappointments: Both Lord of the Files and Man on Fire had short runs on the Nielsen charts. Running Point’s sophomore season also opened to about half its viewership, similar to The Four Seasons. A Good Girl’s Guide to Murder’s second season—see below—didn’t even make any of the three viewership charts I track, unlike the first season. Netflix is absolutely having a dismal second three months of 2026. If this Nielsen data is any indication, and I think it is, I think this will show up in Netflix’s engagement report, and maybe even their financial outcomes. And the rest of June doesn’t look much better. We have two hit shows coming back—Sweet Magnolias, one of their quietest big shows, and Avatar: The Last Airbender, a big hit for them in 2024—but the other big swings are limited series crime thrillers i.e. no future season potential. Like I said above, sometimes when I uncover a juicy nugget like this, other outlets end up writing very similar articles mimicking the data without credit. We’ll see if that happens this time! Share Television - The State of Superhero Shows on Streaming When I first heard the pitch for Spider-Noir—a Sony TV show on Prime Video that binge-released eight episodes first on MGM+ then on Prime Video two days later—I had my doubts. It’s a live-action Spider-Man show set in the 1930s, starring Nicholas Cage, based on a cameo of a character in Spider-Man: Into the Spider-Verse. No, seriously, that’s the pitch. That could either go terrifically well or horribly wrong. Great because, Spider-Man. He’s the biggest superhero we have. I’ve seen tracking numbers that put the new _Spider-Man: Brand New Da_y as the blockbuster of the year and initial pre-sales back that up. And yet this Spider-Noir pitch feels very esoteric. (Also, the eight-episode binge release feels very “Amazon copying Netflix” again.) So what’s the data say? And what does this say about the future of superhero shows?

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Jun 29 • 5:43 PM EDT • Entertainment • entertainment.substack.com
Jodie Turner-Smith offers rare comments about co-parenting with ex Joshua Jackson

Jodie Turner-Smith says she and ex-husband Joshua Jackson are 'learning' and 'not alway getting it totally right' when it comes to co-parenting their daughter together.

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Jun 29 • 12:03 PM EDT • Entertainment • ew.com
Small and medium businesses aren't waiting for an AI invitation—they're already leading

SMBs are using secure AI to build trust, integrate workflows, and turn security into a foundation for scalable growth. Learn more.

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Jun 29 • 12:00 PM EDT • Business • microsoft.com
The Six Biggest Questions About ‘GTA VI’

We’ve learned a lot about the most anticipated video game of all time. But much of Rockstar’s blockbuster sequel to ‘Grand Theft Auto V’ remains a mystery.

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Jun 29 • 11:05 AM EDT • Technology • theringer.com
Students immersed in marine science during camp

MOREHEAD CITY — From microscopic sea life to majestic whales, county middle and high school students are spending June and July learning about everything ocean related during innovative marine science

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Jun 29 • 9:25 AM EDT • Science • carolinacoastonline.com
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Taylor Launches New Bachelor's Degree in AI & Machine Learning

Taylor University is launching a Bachelor of Science in Artificial Intelligence and Machine Learning, building on four decades of AI expertise.

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Jun 29 • 8:00 AM EDT • Science • taylor.edu
How to end a TV show

The creative minds behind From talk about learning from Lost, fan expectations, and wrapping up a story loaded with mysteries.

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Jun 29 • 8:00 AM EDT • Entertainment • theverge.com
Viewpoint: The dangerous influence of ‘woke’ post-modernism in science

rom an article in Science magazine by journalist Rachael Zamzow, we learn that many social scientists believe that a published paper should

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Jun 29 • 7:00 AM EDT • Science • geneticliteracyproject.org
After months of unanswered pain, a Philly woman learned she had Stage 3 colon cancer. Now she’s pushing for equitable care

Medical advances mean that more people are surviving cancer. But not everyone is benefiting from those gains equally, a new report shows.

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Jun 29 • 6:00 AM EDT • Health • whyy.org
Experts convene to make the 'early connections' that matter for children's health, learning

A June event in Chapel Hill assembled the state's agencies and sectors that shape early childhood development, health, and learning.

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Jun 29 • 5:00 AM EDT • Health • ednc.org
Grand Theft Auto VI Rumored to Offer 60 FPS Mode on PS5/Xbox Series X, But Maybe Not at Launch

One of the reasons Grand Theft Auto VI fans are eager to learn the currently missing details on PS5 Pro enhancements is that the most powerful console available on the market is expected to include a performance mode targeting 60 FPS. However, according to a credible source, there's a decent chance that even the base PlayStation 5 and Microsoft's roughly equivalent Xbox Series X will support 60 FPS in Rockstar's massively anticipated game. The rumor comes from the popular Polish gaming podcast Rock and Borys, which features Remigiusz "Rock" Maciaszek and Borys Nieśpielak. It is the latter who shared in […]

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Jun 29 • 3:35 AM EDT • Technology • wccftech.com
Learn Science with Dr. V: Is air weightless?

Air is a mixture of gases, mainly nitrogen and oxygen, along with small amounts of other gases such as carbon dioxide, argon, and water vapor.

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Jun 29 • 2:00 AM EDT • Science • ruidosonews.com
2027 NFL Draft Summer Report: Drew Mesetmaker, QB, Oklahoma State

Is Drew Mesetmaker the wild card in the 2027 NFL Draft? Read his summer scouting report to learn more.

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Jun 29 • 12:06 AM EDT • Sports • sports.yahoo.com
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This Jibber-Jabber Night in Acadiana prohibits jibber jabber. Here's why it works.

Learn how Acadiana Talent in Lafayette provides a platform for musicians of all ages to perform, experiment and connect, contributing to the city's diverse music scene.

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Jun 28 • 12:00 PM EDT • Entertainment • nola.com
Ex-Google engineer says Larry Page, Sergey Brin and Sundar Pichai share the same trait—it’s the lesson he swears by as a $7.2 billion AI CEO

$7.2 billion AI founder Arvind Jain ‘observed’ Sundar Pichai at Google for years before he became CEO—he learned you need to ‘think crazy’ to be successful

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Jun 28 • 7:05 AM EDT • Technology • finance.yahoo.com
Ex-Google engineer says Larry Page, Sergey Brin and Sundar Pichai share the same trait—it’s the lesson he swears by as a $7.2 billion AI CEO

$7.2 billion AI founder Arvind Jain ‘observed’ Sundar Pichai at Google for years before he became CEO—and learned you need to ‘think crazy’ to be successful

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Jun 28 • 7:05 AM EDT • Technology • fortune.com
This Week’s Small Business Tech News: Apple Significantly Raises Their Prices

AI is reshaping small business IT, customer service and marketing. Learn why Microsoft agents, Apple price hikes and AI influencers matter to your business.

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Jun 28 • 7:00 AM EDT • Business • forbes.com
I overcame my fear of learning about AI and landed a Big Tech AI job

A product designer share how embracing her inner "mad scientist" and experimenting with AI helped her land a job at Adobe, with no formal background in machine learning.

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Jun 28 • 5:23 AM EDT • Business • businessinsider.com
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I overcame my fear of learning about AI and landed a Big Tech AI job

A product designer share how embracing her inner "mad scientist" and experimenting with AI helped her land a job at Adobe, with no formal background in machine learning.

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Jun 28 • 5:23 AM EDT • Science • businessinsider.com
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4 Marketing Lessons Every Business Can Learn From the 2026 FIFA World Cup

Nike, Adidas, Home Depot, and FIFA itself offer a powerful reminder: marketing success depends on far more than how much you spend.

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Jun 28 • 5:00 AM EDT • Business • inc.com
The Arts and Sciences of Judo: The New Edition Expands the Frontiers of Knowledge

The publication of Volume 6, Number 1 of "The Arts and Sciences of Judo" marks another important milestone in the development of judo research worldwide. As the International Judo Federation's interdisciplinary journal, under the supervision of Professor Sanda Čorak, it has become a recognised platform where science, education and the values of judo come together to deepen our understanding of the many dimensions of our sport. It also forms an integral part of the IJF Academy's mission to promote education, lifelong learning and the dissemination of knowledge throughout the global judo community.

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Jun 27 • 10:12 PM EDT • Science • ijf.org
Community baby shower in Landover aims to address disparities, promote healthier lifestyles

This weekend in Prince George’s County, people came together for a community baby shower aimed at promoting healthier lifestyles among Black and Brown families across the DMV. With a lot of energy and laughter in the room, hundreds of people gathered at Prince George’s Sports and Learning Complex in Landover. The free event offered support for expecting mothers and parents…

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Jun 27 • 7:56 PM EDT • Health • nbcwashington.com
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Good Sports: Former Bulldog track and field athlete aims to be flag football Olympian

Last June, Kaja Bins didn't know what flag football was. Kaja now has the potential to become an Olympian in a sport she learned a year ago.

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Jun 26 • 8:11 PM EDT • Sports • abc30.com
Jackson Parish young business leaders class

Town of Jonesboro and Mayor James Harris look to host class for young kids learn the business world

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Jun 26 • 6:32 PM EDT • Business • knoe.com
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MSU Vet Tech program awarded $150k NIFA-USDA grant

Morehead State University's nationally ranked veterinary technology program was recently awarded significant financial support to help it maintain its place as the #1 program of its kind in Kentucky. The National Institute of Food and Agriculture (NIFA), part of the United States Department of Agriculture (USDA), awarded MSU's vet tech program a $150,000 NIFA-USDA grant for equipment to support small and large veterinary technology education and workforce competency at MSU. Learn more about veterinary technology programs at MSU by emailing Staton at a.staton@moreheadstate.edu or calling 606-783-2328. Find out more about MSU's veterinary technology program by calling 606-783-2662.

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Jun 26 • 1:39 PM EDT • Science • moreheadstate.edu
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From Linchpin to Lever — Part 1: Measuring Trust in Public Health

Learn how local health departments can measure public trust using existing public health tools to strengthen relationships and improve community health outcomes.

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Jun 26 • 1:18 PM EDT • Health • khi.org
Stillwater’s early start for school is big challenge for football, fall sports

Learn why Stillwater is starting early and how teams are trying to make adjustments.

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Jun 26 • 12:26 PM EDT • Sports • varsity.startribune.com
Small Business Central to American Prosperity Celebration

House Small Business Committee celebrates small businesses as key to American prosperity ahead of nation's 250th anniversary. Learn why Main Street matters.

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Jun 26 • 12:16 PM EDT • Business • legis1.com
Dragon's Dogma 2: Dark Arisen: What We Learned In Capcom's Showcase

Kento Kinoshita, Dragon's Dogma: Dark Arisen's original director, is returning for Dragon's Dogma 2: Dark Arisen

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Jun 26 • 10:31 AM EDT • Technology • kotaku.com
Four bad habits tournament golf exposed within my game

What one writer learned from his second tournament round of the year.

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Jun 26 • 9:09 AM EDT • Sports • sports.yahoo.com
Warren Buffett Bought A Business For $1.7B ‘Over The Phone Without Ever Meeting The People There’ Using The ‘Most Valuable Skill’ He Learned

Buying a company for $1.7 billion without meeting management sounds like the kind of decision that would keep lawyers busy for months. Warren Buffett did it over the phone. Speaking at the University of Nebraska-Lincoln in 2003, Berkshire Hathaway Chair...

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Jun 26 • 8:31 AM EDT • Business • finance.yahoo.com
Taylor Launches New Bachelor's Degree in AI and Machine Learning

Taylor University is launching a Bachelor of Science in Artificial Intelligence and Machine Learning, building on four decades of AI expertise.

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Jun 26 • 8:00 AM EDT • Science • taylor.edu
What Happens to Your Liver When You Drink Green Tea Every Day

What does green tea do for your liver? Learn how it may affect fat buildup, inflammation, and liver enzymes, plus risks and benefits.

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Jun 26 • 8:00 AM EDT • Health • health.com
Braille is literacy: Rice researchers are reshaping the science of reading

As schools across the country increasingly embrace evidence-based approaches to reading instruction through the science of reading, two Rice researchers are leading an effort to ensure students who learn through braille are not left out of the research shaping literacy education.

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Jun 26 • 8:00 AM EDT • Science • news.rice.edu
Nevada Global Business travels to Tokyo

Students explore Japan’s economy, culture and business practices through company visits and immersive learning in the Nevada Global Business program.

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Jun 26 • 4:00 AM EDT • Business • unr.edu
County Invites Youth, Camps To Register For ‘Mind Your Business’ July 7 - Town-Crier Newspaper

Palm Beach County’s Mind Your Business Youth Entrepreneurship Forum returns on July 7, offering a full day of hands-on learning and innovation for young people across the county. Now in its seventh year, the forum is designed to inspire the next generation of creators, problem-solvers and emerging business leaders. Open to youth ages 10 to […]

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Jun 26 • 12:01 AM EDT • Business • gotowncrier.com
What we learned as Bryce Harper caps Phillies' shocking comeback trilogy

The Phillies erased another five-run deficit, rallied late again and reached the season’s halfway point with another reminder of how much has changed.

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Jun 25 • 9:50 PM EDT • Sports • nbcsportsphiladelphia.com
👀 Brazil learn first World Cup knockout opponents

The Brazil National Team already knows who it will face in the FIFA World Cup Round of 32.Vini Jr., Matheus Cunha & Co. will take on Japan in their first knockout match of the World Cup. Japan finish...

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Jun 25 • 8:59 PM EDT • Sports • sports.yahoo.com
Baxter Health Heart and Vascular Clinic Welcomes Brandi Watson, APRN

Baxter Health is proud to welcome Brandi Watson, APRN, to the Baxter Health Heart and Vascular Clinic. Watson joined the team on May 15 and is currently accepting new patients. Watson brings more than 25 years of experience caring for some of the most critically ill patients. Much of her career has been spent in intensive care settings, where she learned to make fast, high-stakes decisions for patients whose lives depended on getting the right care at the right moment. That kind of experience, which is gained through years at the bedside, is exactly what heart and vascular patients need from a provider.

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Jun 25 • 8:00 PM EDT • Health • baxterhealth.org
Discovery Education Earns Five 2026 CODiE Award Nominations Spanning Math, Science, Digital Citizenship, and Immersive Learning

Discovery Education Earns Five 2026 CODiE Award Nominations Spanning Math, Science, Digital Citizenship, and Immersive Learning

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Jun 25 • 7:32 PM EDT • Science • discoveryeducation.com
Making Our Own Luck

We are cross-posting a piece that former NIH official Kris Willis wrote for Macroscience. Kris is now the President and Founder of the Woodley Park Institute, for which I’m a board member. Picking winners or hedging bets? Federal science agencies have long wrestled with the question of how to ensure their billions of dollars of grants and contracts result in maximum benefits for Americans. On the surface, it might seem that a goal-oriented, interventionist style of management would be the best policy: prioritize our most pressing problems and distribute funding accordingly.This top-down strategy creates a unique hazard, though: bad choices can send resources in the wrong direction, resulting in slow progress that impedes the delivery of tangible benefits to citizens. Moreover, if decision makers pursue an applied advance when the underlying scientific principles remain poorly understood, they risk costly failures and a loss of support for the research enterprise at large. Examples include Nixon’s 1971 War on Cancer, undertaken on the premise that a cure could be achieved in less than a decade, the drive to build an operational commercial fusion plant by the mid-1990s, and the National Plan to Address Alzheimer’s Disease, which failed to produce the effective treatments and prevention strategies promised by 2025. The contrasting laissez-faire approach is to hedge your bets. If the path to an advance is impossible to predict, then the wisest choice might be to distribute funding to as widely as possible. The main risk of this strategy is that spreading funding thinly may limit the resources available to the most promising research, resulting in the same negative outcomes as the interventionist approach: limited support for the most promising topics, slow progress, and delayed returns. In reality, at science agencies like the National Science Foundation and National Institutes of Health, program managers navigate between these two extremes, setting some funds aside to target high-priority areas and using the rest to cover the widest possible range of meritorious proposals. This middle path seems like the most rational way to proceed, but it still requires making choices. How much should be set aside for high priority topics? What should those topics be? How should we define merit? Expert opinion can provide a helpful guide, but leading experts can have remarkably different opinions about what matters and what should be prioritized. Moreover, experts and administrators alike can be risk averse, giving an edge to high-profile, well-established concepts. What’s really needed is a data-driven framework to help guide decision-making, one that doesn’t simply repackage prestige or incumbency. Recognizing breakthroughs years in advance Many breakthroughs fail to attract funding or recognition at the earliest stages of development. Katalin Karikó, for example, spent years struggling to win grants for work on mRNA that would eventually win her and Drew Weissman a Nobel Prize. Similar stories can be told about Jim Allison’s groundbreaking studies leading to the development of cancer immunotherapy, Stan Pruisner’s demonstration that prions can self-replicate without DNA, or Robin Warren and Barry Marshall’s proof that Helicobacter pylori, not stress, causes ulcers. Yet at some point, the scientific community recognizes and responds to transformative breakthroughs like these. How does that change happen? And what if science funders could identify the areas that are on the cusp of a breakthrough? Those questions led my collaborators and me to study how scientists responded to past breakthroughs. Based on patterns in that data, we developed a means of predicting future breakthroughs, using biomedicine as a proof of concept. It’s worth taking a moment to describe how our approach works. Briefly, our prediction process begins by grouping the 18 million or so peer-reviewed papers in PubMed, the authoritative database of biomedical research, into roughly 50,000 unique topics. A small subset of these topics are so widely acclaimed as breakthroughs that they have been recognized with a major prize like a Nobel or a Lasker Award. We theorized that studying the development of these outliers over time, especially before they gained acclaim, was the key to identifying future instances of them. After defining topics, we chose 21 representative breakthroughs and asked what they looked like before they won prestigious prizes. To answer that question, we re-ran our topic-mapping algorithm repeatedly, winding back the clock one year each time, stringing together the years to follow the progress of each field as it grew and advanced. We found that in each case, the years leading up to a discovery followed a pattern: a burst of papers on a new, rapidly evolving topic, many of which quickly became influential. These characteristics—the percent of papers that are new, the percentage of papers that are brought in from other topics, and the influence of each individual paper—can all be measured separately for any given topic. Together, they act as a predictive signal that is detectable an average of five years before a transformative discovery is made, and up to thirty years before the discovery receives a major prize. Scanning the current research landscape for topics that display this signal allows us to predict what work will likely produce a future breakthrough. Each year we analyzed includes four or five signals, a number that appears to have remained constant across a twenty year time frame. In their classic work on the sociology of science, Bruno Latour and Steve Woolgar established that the desire to participate in a major discovery is an important motivator for scientists as they consider whether they should take up (or abandon) a research problem. Although further work is needed, the simplest explanation for our results is that this behavior is widespread enough to detect at scale. A foundational advance, or something like it, draws the attention of scientists and causes them to change the direction of their research. They vote with their feet, staking their own reputation and careers by publishing on and citing the new idea. That upswell of interest is the foundation of our breakthrough signal. What kind of research does our model identify as a breakthrough? After building a model based on the patterns in our 21 preselected breakthroughs, we tested it by identifying all early signals of discovery from 1994 through 1997. Of the 18 signals we found in that time period, 17 can be traced forward in time to a breakthrough. Examples include super-resolution fluorescence microscopy (see the image above), the directed evolution of proteins and enzymes (Chemistry Nobel, 2018), and sequencing the human genome (National Medal of Science, 2008). The discovery of the role of leptin signaling in obesity is a particularly interesting case study. Around 1950, scientists noticed the existence of a type of lab mouse that suffered from a unique inherited form of obesity. When given the freedom to choose their own diet, these mice ate more than normal and preferred food that was high in fat. Researchers had few clues as to why the animals overate; early experiments pointed to the existence of a soluble ob factor found circulating in the bloodstream that regulated appetite, but its identity was unknown. In 1994, Jeffrey Friedman and colleagues identified and sequenced the ob gene, noting that the protein it encoded appeared to fit the profile of a circulating factor. A year later, a trio of high-profile publications demonstrated that ob was a hormone that regulated body weight and fat deposition by regulating appetite. One of these was co-authored by Friedman, who christened it leptin from the ancient Greek word for thin. Using our model, the data from 1996 make it clear this advance would become a breakthrough. Scientists had flocked to study the biology of the new hormone, generating the flurry of new papers and citations required to produce a signal. One of these demonstrated that serum leptin concentrations reflected the amount of adipose tissue in the human body, providing clinical validation of the earlier mouse studies. Before the identification of leptin, scientists were unable to point to a specific molecule that controlled appetite and adiposity, so that it was impossible to rule out non-physiological causes of obesity; its characterization fundamentally changed our concept of weight gain. In 2010, Friedman and fellow pioneer Douglas Coleman were awarded a Lasker for the discovery. Our work also identifies breakthroughs in clinical practice and behavioral and social sciences, even though these areas are less likely to draw the attention of major prize committees. One example that falls into this category is the introduction of endovascular aneurysm repair, a minimally invasive surgical procedure for the treatment of abdominal aortic aneurysm, a leading cause of death among Americans over the age of 65. Relative to the previous standard of care, it reduces in-hospital mortality by almost four-fold. In 2017, Timothy Chuter received the American College of Surgeons’ prestigious Jacobsen Innovation award for his multiple refinements to the technique. Another under-recognized breakthrough identified by our model is the development of standardized survey instruments to assess the quality of life for HIV+ patients. The antiretroviral cocktails introduced in the mid-1990s reduced AIDS mortality, but treatment came with serious side effects. The new evaluations showed that patients whose disease progressed had worse physical functioning than Americans with other chronic diseases, while those who were asymptomatic maintained a health-related quality of life on par with the overall US population. This evidence made it possible for patients and activists to argue that even in the absence of a total cure, and in spite of the side effects, alleviation of symptoms was a worthwhile priority for clinicians. My colleagues and I have failed to identify any significant recognition for the physicians and health policy experts who pioneered this advance, although in 2016, researchers called for the World Health Organization to set targets for good health-related quality of life as part of its framework to end the AIDS pandemic. From forecasting to funding How should science funders use our predictions? Any serious discussion of what we should do with this new capability needs to begin with an understanding of its limitations. We can’t (and shouldn’t) invest all of our resources in the small number of topics predicted to produce breakthroughs. Innovative new fields are born from existing ones; they rarely arise de novo. If funders don’t maintain a diverse portfolio, the breakthroughs of tomorrow will have no antecedents. Think of this as eating the seed corn, or killing the goose that lays the golden egg. There are also multiple goals of funding beyond basic scientific discovery, including translating discoveries into clinical practice, developing new technologies, supporting economic development, and training new scientists. The investments needed to accomplish these goals are likely different from those required to support emerging breakthroughs. Finally, we must be aware that we may not capture every instance of a breakthrough. The concept is fuzzy, and not every significant discovery is recognized with a major award. Further, breakthroughs are rare, meaning that our dataset is, by necessity, small. This makes formal estimates of accuracy challenging. Although our overall success rate appears to be high, any one signal may turn out to be a false positive. We found one apparent example: the development of the third generation COX-2 inhibitors, Vioxx and Celebrex, which were much celebrated in the early 2000s as effective but non-addictive pain relievers, meets all the algorithmic criteria of a breakthrough. Five years after it received FDA approval, researchers demonstrated that Vioxx was associated with serious cardiovascular complications, and the manufacturer voluntarily pulled the drug from the market. Celebrex remains available, although like other NSAIDs, it carries an FDA warning for increased cardiovascular risk. Decision makers who were overly focused on the breakthrough potential of this research might have wasted substantial resources nurturing an area that ultimately proved to be a failure—but so would those who relied on expert opinion at the time. That said, the potential benefits of funding the next mRNA vaccine or cancer immunotherapy years earlier than we might have are large. When we can’t assume the outcome of an action, it’s worth conducting an experiment. Can targeted support for areas that are poised to produce a breakthrough increase the return on scientific investment without cannibalizing future advances? With the necessary administrative infrastructure in place, conducting this experiment would be straightforward. First, identify all the breakthrough signals between 2018 and 2023, select half at random, and commit to a decade of investment. For biomedicine, a six year window should yield about 30 topics with the potential to produce a breakthrough. Providing strong support to half of these might be accomplished for $300 million a year. That’s roughly half of the recent annual budget of the NIH Common Fund or around 20% of the fiscal year 2025 budget for ARPA-H. After five years, then again at ten, compare to see which group — the one that was actively managed, or the control — produced more breakthroughs, and on what timescale. Although we used biomedicine as an example, the same experiment could just as well be run for physics, materials science, or any other discipline. Any attempt to undertake such an experiment should keep three points top of mind. First, we can predict the topic of future breakthroughs, but the people and vision for how to move the work forward are still important. In practice, this means success requires active program managers with the expertise to develop the science and the authority to do so, including by recruiting investigators. Second, we would be wise to learn from the failures of past attempts to fund transformative research. High among these are funding modestly repackaged work, confusing the genuinely novel with the merely unfamiliar, and relying too much on incumbent investigators. All of these risks can be mitigated by thoroughly and intelligently integrating high quality data into portfolio management. Finally, we need to have patience. Even with strong funding support, producing a breakthrough takes time. If supporting breakthroughs is the best way to nurture the birth of new fields, we also need to accurately describe and properly manage the other two stages, so that we invest wisely throughout the productive lifetime of ideas and divest once they reach the point of diminishing returns. We would benefit from more study of all of these phases, especially the transition from one to another. More research could answer questions like: When does a breakthrough become an established field? How do the availability of funding, the size and characteristics of the available workforce, and the accumulation of evidence that disagrees with prevailing models affect a field’s decline? Exactly how do old ideas give birth to new ones, and can we speed up the process? The more we understand about the dynamics of scientific progress, the better we can maximize the odds that our curiosity leads to results. I’d call that finding a way to make our own luck.

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Jun 25 • 4:48 PM EDT • Science • goodscience.substack.com
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How should European scientists respond to the US AI kill switch?

Earlier in June, Europe’s worst fears of technological dependence were confirmed when the White House ordered the AI firm Anthropic to stop non-US citizens using its leading models. This kill-switch moment crystalised anxieties in Brussels that the continent, lagging the US on the creation of leading-edge AI models, is now a technological of vassal of Washington. The shock has specific implications for European scientists and universities. Some governments are now worried that with AI being integrated into labs, Donald Trump now has his finger hovering over an off switch for European science. “Having restrictions on this tool, it can have an impact on our own research,” said France’s research minister, Philippe Baptiste, at the VivaTech conference in Paris on June 18.Baptiste, himself a former academic, said that colleagues in mathematics had recently warned him they were now cut off from leading-edge US models, risking their work. “This model is not available anymore now because of the US restriction, and for the first time this had an impact on mathematics,” a field where large language models (LLMs) are making a significant contribution, said Baptiste. So, should European scientists avoid relying on US models in the future? Or would this be a self-harming overreaction? And how is AI being used in science, anyway? What happened?On June 12, it emerged that Washington, citing cybersecurity concerns, had ordered Anthropic to stop non-US citizens using two models: Claude Mythos 5, and Claude Fable 5, a version of Mythos but with guardrails to prevent abuse. Anthropic said Washington’s concerns were overblown. But forced to follow the order, yet with no way to check who was using the models, the company suddenly shut down access for everyone, US citizens included. There’s still no agreement on how to restore broad access. But last week, Bloomberg reported that select US companies, and the US government, still had access to Mythos despite the ban, but the EU’s cybersecurity agency Enisa had been shut out. Class division of researchersIn the longer term, access outside the US should be restored, said Marcel Salathé, co-director of the AI centre at the Federal Polytechnic School of Lausanne (EPFL), because a permanent restriction would be financially ruinous to US AI firms. “Even Trump will eventually budge to economic pressure,” he said.However, US AI firms might end up operating rather like banks, doing due diligence on users of their leading-edge AI models, he went on.European scientists are unlikely to fall foul of such checks, he said. But having a Chinese postgraduate in their lab, or doing a type of research the US disapproved of, could potentially result in access being denied. “It will create a sort of class division of researchers,” he said. More than frontier modelsHowever, successfully deploying AI in science is about far more than just having access to leading LLMs such as Mythos.Instead, many science-specific tools, most famously Alphafold, which predicts protein folding structures, require “far less” computing power to train than frontier models, well within the capabilities of European supercomputers, according to a recent analysis by the Arq Foundation, a Brussel-based AI think tank. Instead, tools such as Alphafold are possible because certain fields, like protein folding, weather prediction or astronomy, have large, clean, standardised datasets that can be used to train predictive models. Rather than compute, “data is the central constraint for AI for science,” the report says. For example, a less powerful physics model trained on CERN’s data “will be more valuable than the best model without certain data,” said Bengüsu Özcan, author of the report. European advantage?Europe could therefore steal a march by using its scientific data and infrastructure to create models US digital giants cannot. “They might actually match or go even beyond what these big [US] companies are doing,” said Özcan.Indeed, some European start-ups hope to create automated testing labs to create the kind of standardised data that could speed up the discovery of new materials. Materials scientists say there’s currently too little data to train models. AI scientistsHowever, even if the bottleneck for AI in science is often data, rather than compute, being at the mercy of the US for LLM access could still become a problem for European scientists. A new class of “AI scientists” based on leading LLMs is also emerging, Özcan’s report says.Unlike domain-specific tools like Alphafold, these try to automate day-to-day scientific work, by providing an overarching tool that coordinates specific models to synthesise existing literature, generate hypotheses or run analysis of data. The problem for Europe, however, is that these tools are sometimes based on US leading models. Google Deepmind’s AI Co-Scientist, for example, is built on Google’s Gemini LLM. Systematic failureThese scientific automation tools are still in their early stages, and still exhibit “systematic failures on scientific tasks,” Özcan’s report says. One of the problems is that the messy, day-to-day process of scientific discovery is largely not documented, meaning LLMs don’t have a good source of data to learn how scientists actually work. Meanwhile, some tasks, such as literature synthesis, don’t typically require access to leading edge models.However, the performance of AI scientific assistants could improve as companies such as Google pour resources into developing them. Rely on US“Unfortunately, for scientific assistants, there is not much we can do right now except rely on US frontier AI,” said Antoine Bosselut, a natural language processing expert based at EPFL. Chinese-built open models, which can run on local computers, lessening the risk of a shutdown, are touted as one alternative to US dependence. There’s also Mistral, once seen as Europe’s main AI hope, but the Paris-based company has seen its recent models fall behind in performance. But the Chinese alternatives are generally not as capable as US frontier AI models, said Bosselut, unless paired with fiddly, custom tools that allows them to act as independent agents. “Most scientists do not have the time,” he said. Don’t jump ship yetAlthough the kill switch moment is seen a warning shot for European scientists, it doesn’t mean labs should abandon US AI tools immediately. “I do not think the right response is simply to abandon US-based models and systems under the banner of sovereignty or independence,” said Mattias Björnmalm, secretary general of the Cesaer university association. “That would be an overreaction.”Related articlesEuropean sovereignty in AI requires ‘ugly trade-offs,’ say experts Robotic lab start-up makes case for €500M EU-funded materials testing facilityAI in science: is it useful? Instead, European researchers need to ask themselves whether they’re becoming dependent on technology that could be turned off in Washington, said Özcan. “They might not see this today, but they should really start asking this question,” she said. European researchers need a plan B, said Salathé. “I would recommend to every researcher, very proactively explore alternatives.”Own toolsIn addition, Björnmalm and others want European research institutions to develop their own scientific AI tools.Instead of signing AI deals with US digital giants, European universities should be using this money to create their own models, which may end up being superior for research, said Sabine Leonelli, an expert on the use of AI in science at the Technical University of Munich. “Universities in Europe seem to be happy to sign commercial contracts with US companies on the assumption [their AI tools] are better,” she said. But US frontier LLMs are typically opaque, and have been developed without independent scientific input, she said. “This is not good enough for science.”Last year, Swiss researchers released Apertus, an LLM designed to be completely transparent, from its development methods to its training data. The idea is that this makes scientific tools built on top of the model far more reproducible than with closed, commercial alternatives.“Europe needs more of this: serious capacity-building that gives researchers, universities and companies credible options,” said Björnmalm.

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Jun 25 • 8:00 AM EDT • Science • sciencebusiness.net
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