Depth-sensing imaging system can peer through fog
Computational photography could solve a problem that bedevils self-driving cars.
Department
Media Arts and Sciences (Media Lab)
The autonomous “selfie drone”
Alumni’s video-capturing drone tracks moving subjects while freely navigating any environment.
Study: On Twitter, false news travels faster than true stories
Research project finds humans, not bots, are primarily responsible for spread of misleading information.
Seeing the brain's electrical activity
Fluorescent sensor allows imaging of neurons' electrical communications, without electrodes.
Eight MIT researchers win 2018 Sloan Research Fellowships
Faculty from six MIT departments among 126 selected from across the U.S. and Canada.
Robotic interiors
Smart furniture transforms spaces in tiny apartments into bedrooms, work spaces, or closets.
Startup makes labs smarter
Platform connects individual pieces of lab equipment, compiles data in the cloud for speedier, more accurate research.
Bots that talk more like people
AI platform allows chatbots to draw on robust language database to better navigate human conversation.
Programmable droplets
Using electric fields to manipulate droplets on a surface could enable high-volume, low-cost biology experiments.
New depth sensors could be sensitive enough for self-driving cars
Computational method improves the resolution of time-of-flight depth sensors 1,000-fold.
Inventing the “Google” for predictive analytics
Platform analyzes big data to answer plain-language business queries in minutes instead of months.
Recycling air pollution to make art
Startup’s system captures particle matter from diesel exhaust and turns it into inks and paints.
Small European nation becomes a “living lab” for urban innovation researchers
Andorra funds MIT Media Lab technologies that, in turn, help improve the nation’s cities.
Flexible sensors can detect movement in GI tract
Ingestible devices could diagnose gastrointestinal slowdown or monitor food intake.
3 Questions: Iyad Rahwan on the “psychological roadblocks” facing self-driving cars
MIT Media Lab professor considers the trust gap between people and autonomous vehicles.