Sixth annual Assistive Technologies Hackathon paired students with client co-designers to create innovative solutions to the everyday problems they face.
Technique could improve machine-learning tasks in protein design, drug testing, and other applications.
Sensor can monitor wiring in a building or ship, and signal when repairs are needed.
Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.
Loosely connected disc-shaped “particles” can push and pull one another, moving en masse to transport objects.
MIT Institute for Data, Systems, and Society co-hosted WiDS Cambridge, a daylong conference connecting female data scientists across academia and industry.
Master’s student and Marshall Scholar Kyle Swanson uses computer science to help make drug development more efficient.
The MIT community is invited to comment on ways to increase sharing of research, data, software, and more.
CSAIL researcher and web inventor recognized for his startup inrupt, which aims to give users more control over their data.