Method finds hidden warning signals in measurements collected over time
A new deep-learning algorithm could provide advanced notice when systems — from satellites to data centers — are falling out of whack.
A new deep-learning algorithm could provide advanced notice when systems — from satellites to data centers — are falling out of whack.
MIT study shows the power of adaptive training tools, like a basketball hoop that shrinks and raises as you make shots.
Will focus on responding to disasters and humanitarian crises, defending against biothreats, addressing climate change, and improving human health and performance.
Researchers are working toward intelligent machines that can sense cognitive fatigue and suggest interventions to help a human improve performance.
Book co-authored by Associate Professor Julie Shah and Laura Major SM ’05 explores a future populated with robot helpers.
Startup makes meeting data searchable and shareable, and automates data entry into workplace apps.
CSAIL's Conduct-A-Bot system uses muscle signals to cue a drone’s movement, enabling more natural human-robot communication.
The PhD student and former high school teacher aims to study the ways young people of color interact with technology.
Professor’s startup brings millimeter-scale location tracking to factories, ports, and other industrial environments.
MIT spinout Superpedestrian has developed a smart electric scooter to improve urban mobility.
Engineer and historian discusses how the MIT Schwarzman College of Computing might integrate technical and humanistic research and education.
CSAIL system can mirror a user's motions and follow nonverbal commands by monitoring arm muscles.
Gripper device inspired by “origami magic ball” can grasp wide array of delicate and heavy objects.
Media arts and sciences professor is recognized for a career of contributions to human-computer interaction.
Computer model could improve human-machine interaction, provide insight into how children learn language.