A major milestone for clinical AI and patient care at Johns Hopkins. The @fda.gov has approved an AI-powered early warning system developed by Johns Hopkins researchers that can detect sepsis before clinicians may even suspect it. #ResearchSavesLives hub.jhu.edu/2026/05/12/f...

Bloomberg Philanthropies and Johns Hopkins University launch Mayors AI Forum at CityLab. The forum will bring together the world's most forward-thinking city leaders to demonstrate what responsible AI can do for people everywhere. Read more: hub.jhu.edu/2026/04/28/b...

Register today for the next Sip & Solve: AI Lightning Talks with a Twist event. A fast-paced, engaging look at how Johns Hopkins faculty are using AI to transform nursing education, healthcare systems, and patient care. Details and registration info: ai.jhu.edu/event/sip-so...

Government and military partners face challenges using sensitive or classified data with commercial large language models (LLMs). Johns Hopkins APL researchers built an LLM from the ground up, creating a capability that can help adapt models for mission-relevant domains. https://jhuapl.link/9a8

What an inspiring day at our Celebrating Women in Data Science and AI event! We were thrilled to welcome a full house for a feature talk, keynote address, two expert‑led panel discussions, and an engaging poster session highlighting innovative work from across our community.

Welcome internationally recognized neuroscientist, Ilya Monosov, who joins @jhu.edu as the Bloomberg Distinguished Professor of Curiosity and Intelligence. hub.jhu.edu/2026/04/03/n...

We are proud to again be recognized by our peer schools and programs as the #1 public health school in the nation, as reported by U.S. News & World Report. The Bloomberg School is grateful to partner closely with our peers on our shared commitment to improving health for people everywhere.

In @nejm.org: Computational medicine driving safer, more precise treatment for dangerous arrhythmias. Prof Natalia Trayanova's cardiac digital twins were used to guide ablation procedures in real patients. Most remained VT-free at ~1 year follow-up. engineering.jhu.edu/news/digital...

Join us for the Celebrating Women in Data Science and AI Symposium on April 14 from 10 a.m. to 4 p.m. Register now to hear from leading women in data science and AI through dynamic talks, panel discussions, and a poster session. ai.jhu.edu/event/celebr...

Better drug testing and reduced reliance on animal models: Led by @johnshopkinsehe.bsky.social Asst Prof Lena Smirnova, Hopkins researchers have secured a $15M NIH grant to use brain organoids + AI to study learning, memory, and neurological diseases. engineering.jhu.edu/news/johns-h...

"We want to use AI technology to increase independence and eliminate the gap between the healthspan and lifespan of our older adults." With fed funding, Hopkins Artificial Intelligence and Technology Collaboratory for Aging Research supports research in 45 states engineering.jhu.edu/news/hopkins...

With the support of federal funding, the Johns Hopkins Artificial Intelligence & Technology Collaboratory for Aging Research is helping researchers across the country explore how artificial intelligence and emerging technologies can support healthier aging. #ResearchSavesLives https://bit.ly/4cEXlrI

"We're entering an era where the questions we can answer about the universe are limited not by data, but by our ability to extract information from it. That's exactly the challenge I want to tackle." Meet new Bloomberg Distinguished Professor Benjamin Wandelt. engineering.jhu.edu/news/renowne...

Reuse & renew ♻️ To identify safety issues before they impact critical applications, @jhu.edu and @msftresearch.bsky.social researchers (including @danielkhashabi.bsky.social) have developed a renewable, sustainable framework for evaluating #LLMs that requires minimal human effort to run.

Researchers at APL are advancing robotic perception using artificial intelligence to help autonomous agents understand complex environments and plan tasks more like humans. The work could support warfighters and first responders operating in challenging environments. https://jhuapl.link/b51

Welcome @bwandelt.bsky.social, who joins @jhu.edu as the Bloomberg Distinguished Professor of Cosmology and Scientific AI. hub.jhu.edu/2026/03/10/b...

Congratulations to our researchers (including alum @xtimv.bsky.social) on winning an Outstanding Paper Award at the most recent @colmweb.org!

🧵Meet the 3 Hopkins Engineers selected as 2026 @sloanfoundation.bsky.social Fellows: “early-career scholars whose creativity and innovation set them apart as the next generation of scientific leaders.” JHU has had 92 Sloan Fellows since 1955! engineering.jhu.edu/news/3-hopki...

Tonight: James Bellingham, Bloomberg Distinguished Professor and Director of Research for Safety and Assurance at the Data Science and AI Institute, will speak on “How Are Marine Robots Shaping Our Future?”

Congratulations to @ananya-a-joshi.bsky.social on winning a @aaai.org Deployed AI System Award for this work, which proposes a system that reduces alert fatigue in big-data decision making.

New AI research is helping predict how people behave during wildfire evacuation, so emergency planners can reduce traffic jams and save lives. This federally funded research is helping to expand AI models grounded in human behavior to improve disaster response. https://bit.ly/4rzN1Fu

As featured at the inaugural @jhu.edu / @fastcompany.com World Changing Ideas summit, the Johns Hopkins Sports Analytics Research Group is leading real-world sports applications of #AI.

Learn how @aliu33.bsky.social and @tom-lippincott.bsky.social are using their @hopkinsdsai.bsky.social Seed Grant Awards to address a broad range of societal and humanitarian challenges through the use of data science and #AI: www.cs.jhu.edu/news/dsai-20...

As #AI transforms nearly every sector, two @jhu.edu experts—including JHU CS’ Suchi Saria—outline guiding principles for its use in medical care so that it can truly benefit physicians and patients. Read the commentary on @natmed.nature.com:

What to expect in AI in 2026? @mdredze.bsky.social, director of the Data Science and AI Institute, discusses what’s next for AI and what policymakers should keep in mind over the next year. washingtondc.jhu.edu/news/ai-in-2...

Join us in advancing data science and AI research! The Johns Hopkins Data Science and AI Institute Postdoctoral Fellowship Program is now accepting applications for the 2026–2027 academic year. Apply now! Deadline: Jan 23, 2026. Details and apply: apply.interfolio.com/179059

For 150 years, Johns Hopkins University has redefined what is possible through research, education, and discovery. As we enter our Sesquicentennial year, it's time to celebrate the relentless pursuit of knowledge and the people behind it. 150.jhu.edu

Join us in advancing data science and AI research! The Johns Hopkins Data Science and AI Institute Postdoctoral Fellowship Program is now accepting applications for the 2026–2027 academic year. Apply now! Deadline: Jan 23, 2026. Details and apply: apply.interfolio.com/179059

Check out the Fall 2025 Hopkins Engineering magazine featuring the latest updates on the Johns Hopkins Data Science and AI Institute!

Last week at the annual Johns Hopkins Research Symposium on Engineering in Healthcare, we learned about developing and deploying #AI tools for clinical practice, discussed emerging challenges, built connections, and fostered new collaborations. Stay tuned for session recordings!

Congratulations to @jhu.edu researchers who have been selected as a 2025 Humanities and AI Virtual Institute awardee by @schmidtsciences.bsky.social ! JHU collaborators will develop an #AI toolkit to help scholars analyze hierarchical patterns in language and music. Learn more below:

JHU is part of the new Learning Accelerated Domain Sciences (LEADS) Institute! DOE-funded, LEADS focuses on reshaping how AI supports scientific discovery. ROSEI's @drgona.bsky.social and Enrique Mallada, as well as Mahyar Fazlyab are involved. #HopkinsEnergy energyinstitute.jhu.edu/johns-hopkin...

At @neuripsconf.bsky.social this year, a @jhu.edu-led research team presented the Pancreatic Tumor Segmentation Dataset—which may be the key for training #AI models to detect #pancreaticcancer early enough to make a difference in patients’ survival.

APL and @microsoft.com recently showcased MAESTRO, an agentic AI planner that coordinates diverse robot teams. The demo highlighted how large language models can help robotic systems collaborate in complex environments. https://jhuapl.link/976

Johns Hopkins researcher Suchi Saria is leading the way in using AI to make health care safer and smarter. From predicting sepsis hours earlier to scaling real-time clinical tools, her work is transforming how hospitals save lives. Read more in the latest issue of Johns Hopkins

Congratulations to all @jhu.edu researchers participating in #NeurIPS2025! Check out all Johns Hopkins accepted papers, tutorials, and workshops at ai.jhu.edu/news/johns-h....

Be sure to stop the 2025 Johns Hopkins Research Symposium on Engineering in Healthcare for our exhibition halls, collaboration and networking opportunities, and remarks from @alexisbattle.bsky.social, Chien-Ming Huang, and @moberst.bsky.social! Register now: 2025-malone-symposium.eventbrite.com

Last year, four multidisciplinary research teams received seed funding from #HopkinsDSAI and @jhuartssciences.bsky.social to pursue research using AI and data science to address a broad range of societal and humanitarian challenges. Read updates on these projects: ai.jhu.edu/news/dsai-20...

"Imagine a robot small enough to enter a collapsed building, smart enough to navigate the space, recognize potential signs of life, and efficient enough to keep running without relying on external power or internet,” says IAA's Tinoosh Mohsenin of her research. www.baltimoresun.com/2025/11/19/h...

A renowned expert in technology, law, and institutional economics, @ghadfield.bsky.social gives us an inside look at her current research and most significant findings in the field of AI governance.

Yesterday evening, #HopkinsDSAI and @jhucarey.bsky.social's Center for Digital Health and Artificial Intelligence hosted Sip & Solve: AI Lightning Talks with a Twist. The event brought together leading @jhu.edu faculty to share insights into their work at the intersection of AI.

Johns Hopkins is one of nine universities selected for Amazon’s new AI PhD Fellowship Program, supporting cutting-edge research in machine learning, computer vision, and more. https://t.co/JnT8OyyFdu

Congrats to DSAI Director of Research, Safety and Assurance Jim Bellingham on the publication of his new book!

APL is bringing the power of AI and advanced analytics to wargaming. GenWar Lab leverages advanced AI and LLM capabilities to support the wargames and tabletop exercises that enable military decision-makers to explore dynamic and wide-ranging mission scenarios. https://jhuapl.link/598

What looks like a good image to humans isn’t always “good” for #AI. @mathias-unberath.bsky.social & @jhuapl.bsky.social’s Nathan Drenkow redefine image quality—not by how it appears to people, but by how AI models interpret & perform on those images. Read their work at @nature.com:

Congratulations to @hopkinsdsai.bsky.social current interim director, Rama Chellappa, the recipient of the Azriel Rosenfeld Lifetime Achievement Award in computer vision.

Thank you to all who joined us for yesterday’s “Future of Your Practice: AI Innovations Reshaping Clinical Care” event! Exploring how AI is transforming clinical decision-making and shaping the future of patient care. #AIinHealthcare @hopkinsmedicine.bsky.social @hopkinsengineer.bsky.social

JHU CS is ready for #ICCV2025! 🌺 Check out what our computer scientists are presenting at next week’s @iccv.bsky.social in this thread 🧵: (1/10)

Mark Dredze (@mdredze.bsky.social) has been named inaugural director of the Data Science and AI Institute. A member of the @jhucompsci.bsky.social faculty since '09, he is a pioneer in the application of AI for language analysis to public health and medicine. hub.jhu.edu/2025/10/13/m...

Researchers at Johns Hopkins created AI-generated “visual anagrams” that reveal how our brains process what we see. A butterfly becomes a bear, a duck becomes a horse, all from the same pixels. hub.jhu.edu/2025/10/06/v...