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3 Questions: Artificial intelligence for health care equity
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
From diabetes to Covid-19, Better World (Health) showcases MIT research in action
MIT alumni and friends from around the globe attended an online event that featured presentations from Institute leaders, faculty, and alumni about human health-related research.
Toward deep-learning models that can reason about code more like humans
Researchers propose a method for finding and fixing weaknesses in automated programming tools.
Job connectivity improves resiliency in US cities, study finds
New research offers insight for city planning and workforce development.
One-stop machine learning platform turns health care data into insights
Cardea software system aims to bring the power of prediction to hospitals by streamlining complex machine learning processes.
Seeking the cellular mechanisms of disease, with help from machine learning
Caroline Uhler blends machine learning, statistics, and biology to understand how our bodies respond to illness.
Tactile textiles sense movement via touch
By measuring a person’s movements and poses, smart clothes developed at MIT CSAIL could be used for athletic training, rehabilitation, or health-monitoring for elder-care facilities.
Study reveals plunge in lithium-ion battery costs
Analysis quantifies a dramatic price drop that parallels similar improvements in solar and wind energy, and shows further steep declines could be possible.
Researchers’ algorithm designs soft robots that sense
Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
More transparency and understanding into machine behaviors
A new tool helps humans better understand and develop artificial intelligence models by searching and highlighting representative scenarios.
