From work and education to the services we rely on in homes, AI has rapidly become a ubiquitous part of our everyday lives," said #HopkinsDSAI Interim Director Rama Chellappa, at last week's Johns Hopkins Data Science and AI Institute Fall 2025 Symposium.
The Johns Hopkins Data Science and AI Institute Fall 2025 Symposium kicked off with remarks from Rama Chellappa, interim director of #HopkinsDSAI. Benjamin Lee of the University of Pennsylvania is giving his talk "Toward Sustainable Data Centers for Artificial Intelligence."
The Johns Hopkins Data Science and AI Institute Fall 2025 Symposium: AI in Daily Life is on Tuesday, September 16. The event will explore how #AI is reshaping everyday life.
Our pioneering partnership with leading cancer centers and tech companies has been recognized by TIME magazine’s #TIME100AI 2025 for groundbreaking work in artificial intelligence and cancer research!
Honored to see the Cancer AI Alliance included on TIME's list of the TIME100 AI of 2025! #TIME100AI.
CAIA has been a true team sport based on the shared commitment of all our Alliance members to accelerate cancer research and ultimately improve and save patient’s lives.
Register to attend the Johns Hopkins Data Science and AI Institute Fall 2025 Symposium: AI in Daily Life on Tuesday, September 16. The event will explore how #AI is reshaping everyday life.
#HopkinsDSAI is proud to announce its inaugural postdoctoral fellows for the 2025-2026 academic year. These distinguished scholars join our growing research community, collaborating with faculty across a wide range of academic disciplines and divisions.
#HopkinsDSAI welcomes 22 new faculty members, who join more than 150 DSAI faculty members across @jhu.edu in advancing the study of data science, machine learning, and #AI and translation to a range of critical and emerging fields.
The Johns Hopkins Data Science and AI Institute Fall 2025 Symposium: AI in Daily Life on Tuesday, September 16. The event will explore how #AI is reshaping everyday life. Register to attend: ai.jhu.edu/event/fall-2...
“Currently, for every 20 defibrillators implanted, only one patient derives benefit." @ntrayanova.bsky.social talks about using AI to transform how we prevent sudden cardiac death on KPCW's Cool Science Radio: www.kpcw.org/show/cool-sc...
Johns Hopkins computer scientists have developed a method that dramatically cuts the environmental costs of fine-tuning #AI. They call it EigenLoRAx and, like the Dr. Seuss character, it’s a nod to a greener future. 🌳
Johns Hopkins researchers including @victor-antony.bsky.social and @ziangxiao.bsky.social have created a system that could make social robots more effective at detecting and managing user interruptions—a breakthrough for areas like health care and education where natural conversation is crucial.
Register to attend the Johns Hopkins Data Science and AI Institute Fall 2025 Symposium: AI in Daily Life on Tuesday, September 16. The event will explore how #AI is reshaping everyday life.
Last month, @jhu.edu faculty members hosted an information session on the latest developments in #AI and machine learning at the Johns Hopkins University Bloomberg Center for congressional staffers.
Exciting informational session on AI for congressional staff today at @jhu.edu Bloomberg Center in coordination with #HopkinsDSAI, Johns Hopkins Engineering Lifelong Learning, and Office of Federal Strategy.
Register today to attend the Johns Hopkins Data Science and AI Institute Fall 2025 Symposium: AI in Daily Life on Tuesday, September 16. The event will explore how #AI is reshaping everyday life.
So thrilled! Our paper is out in Nature Cardiovascular Research! We developed #multimodal#AI to predict #cardiacarrest in hyperthrophic #cardiomyopathy. The algorithm significantly outperformed clinical guidelines! @hopkinsengineer.bsky.social
Realistic robotic surgery without human help! Assoc Prof Axel Krieger's SRT-H performed a lengthy phase of a gallbladder removal w/ the expertise of a skilled human surgeon—even during unexpected scenarios that could cause emergencies. engineering.jhu.edu/news/robot-p...
Hopkins researchers including JHU Electrical and Computer Engineering's Tinoosh Mohsenin and @jhu-bdps.bsky.social Rama Chellappa are speaking at booth 1317 of the IEEE / CVF Computer Vision and Pattern Recognition Conference today!
A Compound 3D-Informed Design Toward Spatially-Intelligent Large Multimodal Models Wufei Ma, Luoxin Ye, Nessa McWeeney, Celso M de Melo, Alan Yuille, and Jieneng Chen www.arxiv.org/abs/2505.00788
