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Estimating suicide risk from text
A new language processing tool from MIT's McGovern Institute could help identify individuals at risk for suicide from natural language in texts, enabling swifter interventions.
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The promise and peril of using visual AI to study cities
In the book “How AI Sees the City,” MIT researchers examine implications of using visual AI to study urban life. Across cities, more images means more data, more insight — and more concerns about privacy and fairness.
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MIT welcomes David Siegel SM ’86, PhD ’91 as its next Innovation Fellow
Computer scientist, entrepreneur, and philanthropist David Siegel has joined MIT as an Innovation Fellow, where he will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.
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Poitras Center to fuel early careers of 50 young scientists dedicated to psychiatric disorders research
Patricia and James Poitras launched a fellowship program for MIT graduate students and postdocs studying major mental illness, expanding their philanthropy to directly support early-career scientists.
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A new chapter for MIT Reads
The popular MIT Reads program will begin a new focus on fiction and memoir as a way to help the MIT community celebrate the power of storytelling and strengthen social connection.
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New AI technique could make minimally invasive surgeries safer and more precise
Researchers designed an AI-driven system that could boost the safety and speed of minimally invasive surgical procedures by rapidly matching X-rays captured during surgery with a patient’s preoperative 3D medical scan.
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Measure by measure, studying society accurately
Naoki Egami is an MIT political scientist specializing in the methodology of research, including the question of “external validity” — whether the results of particular studies apply more generally.
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MIT spinout turns plastic waste into resilient building materials
Atlas Building Composites, an MIT spinout, developed an AI-powered robotic manufacturing platform for recycling single-use plastics into durable building materials.
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New method enables AI for safety-critical situations
HardFlow is a new algorithm developed at MIT that helps pretrained generative AI models satisfy hard constraints while improving solution quality without retraining, in applications spanning robotics, control of physical systems, and…
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Lifesaving Lincoln Laboratory device wins 2026 Excellence in Technology Transfer Award
AI-GUIDE, an AI-assisted catheterization device developed by MIT Lincoln Laboratory and Massachusetts General Hospital, was chosen for the Federal Laboratory Consortium’s 2026 Excellence in Technology Transfer Award.
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