Estimating suicide risk from text
A new language-processing tool could help identify the highest-risk individuals from natural language, enabling swifter interventions.
A new language-processing tool could help identify the highest-risk individuals from natural language, enabling swifter interventions.
Patricia and James Poitras ’63 provide fellowships for graduate students and postdocs who will shape the future of mental health research.
Read MoreAn expert in machine learning, statistics, and computation, Rakhlin succeeds Professor Ankur Moitra.
Read MoreFounded by Jake Donoghue PhD ’19 and former MIT researcher Jarrett Revels, the company is creating an AI-driven platform to help diagnose and treat disease.
Read MoreMIT senior Olivia Honeycutt investigates how the ways we communicate can shape our views of the world.
Read MoreOpening a new window on the brainstem, a new tool reliably and finely resolves distinct nerve bundles in live diffusion MRI scans, revealing signs of injury or disease.
Read MoreWith support from the Siegel Family Endowment, the newly renamed MIT Siegel Family Quest for Intelligence investigates how brains produce intelligence and how it can be replicated to solve problems.
Read MoreThe AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
Read MoreThe “self-steering” DisCIPL system directs small models to work together on tasks with constraints, like itinerary planning and budgeting.
Read MoreMIT neuroscientists find a surprising parallel in the ways humans and new AI models solve complex problems.
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