Regina Barzilay and Jim Collins win Pritzker Prize for AI and Science Research Excellence for work in AI-enabled antibiotic discovery
The MIT professors collaborated to identify the first AI-discovered antibiotic, a scientific breakthrough that is widely recognized as a milestone in AI-driven drug discovery.
MIT-led team receives funding to develop a wearable monitor for early disease detection
Awarded up to $38 million from ARPA-H, the team aims to create a low-power, noninvasive sensor patch that measures heart failure and sepsis biomarkers in real-time.
Making machines that can listen
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
Q&A: How AI came to model the “messy” human mind
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
A model developed by researchers at MIT and Boston Children’s Hospital adjusts scans on the fly to track fetal movement, potentially sparing families repeat hospital visits.
This game-playing AI is the new champ at Stratego
Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.
New tool lets users repair AI-generated 3D models, then fabricate them just the way they want
“InstructMesh” can generate designs for everyday objects that are easy to edit and fabricate for both experts and newcomers to 3D modeling.
MIT affiliates named 2026 Schmidt Sciences AI2050 Fellows
Five MIT faculty members and three alumni are honored with fellowships to advance research on beneficial AI.
Gunter Stein, Control Systems and Theory Expert, Dies at 84
Gunter Stein, an expert on control systems and theory who helped reconcile competing schools of thought surrounding automated control systems, and whose work helped usher in an era of robust multivariable control, died on July 11th, 2026 in his home state of Minnesota. He was 84 years old.