Soft robots that grip with the right amount of force
Researchers created a system that lets robots effectively use grasped tools with the correct amount of force.
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In-home wireless device tracks disease progression in Parkinson’s patients
By continuously monitoring a patient’s gait speed, the system can assess the condition’s severity between visits to the doctor’s office.
Empowering Cambridge youth through data activism
Mayor’s youth employment program brought local high schoolers to MIT this summer.
Protecting maternal health in Rwanda
An interdisciplinary team is developing a mobile health platform that uses AI to detect infection in Cesarean section wounds.
“Kids are people too!”
Throughout his career, Professor Hal Abelson has worked to make information technology more accessible to people of all ages.
The power of weak ties in gaining new employment
An experiment using data from 20 million LinkedIn profiles shows how much we rely on people we know less well to land new jobs.
Computing for the health of the planet
The MIT Schwarzman College of Computing welcomes four new faculty members engaged in research and teaching that address climate risks and other environmental issues.
SMART Innovation Center awarded five-year NRF grant for new deep tech ventures
By providing researchers with financial and strategic support from the early stages, the Innovation Center hopes to bring new and disruptive technologies to market.
3Q: How MIT is working to reduce carbon emissions on our campus
Vice President for Campus Services and Stewardship Joe Higgins describes how MIT is tackling its Fast Forward campus carbon-reduction goals
MIT named No. 2 university by U.S. News for 2022-23
Undergraduate engineering and computer science programs are No. 1; undergraduate business program is No. 2.
AI system makes models like DALL-E 2 more creative
Researchers develop a new method that uses multiple models to create more complex images with better understanding.
Collaborative machine learning that preserves privacy
Researchers increase the accuracy and efficiency of a machine-learning method that safeguards user data.
Analyzing the potential of AlphaFold in drug discovery
Study finds computer models that predict molecular interactions need improvement before they can help identify drug mechanisms of action.
Using machine learning to identify undiagnosable cancers
A new model that maps developmental pathways to tumor cells may unlock the identity of cancers of unknown primary.
“You are here because you belong here”
President Reif and faculty members welcome the Class of 2026 to MIT.