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.
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
Analysis quantifies a dramatic price drop that parallels similar improvements in solar and wind energy, and shows further steep declines could be possible.
Experts say people are more willing to get the Covid-19 vaccine when told how popular it is.
Saha Global, co-founded by two MIT alumnae, helps Ghanaian women start profitable water treatment businesses to serve their communities.
Flipping Failure is a collection of video stories told by MIT students about overcoming academic setbacks and coping with the pandemic.
Expert in social data processing proposes adjusting newsfeed algorithms to better mimic real-life interactions.
MIT junior faculty explore new research directions and achieve powerful career advancement enabled by J-WAFS’ mission-driven grant program focused on water and food solutions.
New project by inventor of LobbyView.org will advance trade theory and the ability of citizens to influence public policymaking.
Researchers develop a system to identify drugs that might be repurposed to fight the coronavirus in elderly patients.
Assistant Professor Cathy Wu aims to help autonomous vehicles fulfill their promise by better understanding how to integrate them into the transportation system.
A new algorithm offers insights into consumer spending by identifying what someone purchased from only the bill total.
Study measures which kinds of infrastructure improvements could lead to wider adoption of clean vehicles.
U.S. C3E Women in Clean Energy Symposium convenes virtually, declaring environmental justice key for combating climate change.
A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.
A new deep-learning algorithm could provide advanced notice when systems — from satellites to data centers — are falling out of whack.