Anticipating others’ behavior on the road
A new machine-learning system may someday help driverless cars predict the next moves of nearby drivers, cyclists, and pedestrians in real-time.
A new machine-learning system may someday help driverless cars predict the next moves of nearby drivers, cyclists, and pedestrians in real-time.
A novel photolithography technique could be a manufacturing game-changer for optical applications.
Students in 21H.S04 explore stories of students and faculty from South Asia via oral histories and the Institute Archives/Distinctive Collections.
A new platform will unite climate models, impact predictions, random control trial evaluations, and humanitarian services to bring cutting-edge tools to Bangladeshi communities.
A Climate Grand Challenges flagship project aims to reduce agriculture-driven emissions while making food crop plants heartier and more nutritious.
Mechanical engineers put an Oreo’s cream filling through a battery of tests to understand what happens when two wafers are twisted apart.
MIT engineers Edward Adelson and Sandra Liu duo develop a robotic gripper with rich sensory capabilities.
To better inform local policy in the face of changing weather extremes, MIT researchers seek to advance the modeling of long-term weather risks.
PhD student Paige Bollen finds urban street networks that encourage encounters among strangers link to lower ethnic tensions and anti-immigrant hostility.
Study finds genome loops don’t last long in cells; theories of how loops control gene expression may need to be revised.
The Center for Electrification and Decarbonization of Industry unites MIT climate researchers to create scalable clean energy solutions under one roof.
The system could provide teleoperated endovascular treatment to patients during the critical time window after a stroke begins.
Perovskite materials would be superior to silicon in PV cells, but manufacturing such cells at scale is a huge hurdle. Machine learning can help.
The design could someday enable a fully decarbonized power grid, researchers say.
To put global climate modeling at the fingertips of local decision-makers, some scientists think it’s time to rethink the system from scratch.