MIT engineers build smart power outlet
Design can “learn” to identify plugged-in appliances, distinguish dangerous electrical spikes from benign ones.
Location detection when GPS doesn’t work
Theoretical study shows how to make wireless localization much more accurate.
No more blackouts?
New framework guarantees stability of microgrids that supply local power in developing countries.
An algorithm for your blind spot
Using smartphone cameras, system for seeing around corners could help with self-driving cars and search-and-rescue.
Monitoring network traffic more efficiently
Programming language plus simple circuit design could let routers report on their own operation.
High-quality online video with less rebuffering
CSAIL’s machine-learning system enables smoother streaming that can better adapt to different network conditions.
Artificial intelligence suggests recipes based on food photos
Given a still image of a dish filled with food, CSAIL team's deep-learning algorithm recommends ingredients and recipes.
Using Bitcoin to prevent identity theft
System piggybacks on the digital currency’s security protocols to thwart hijacked servers.
Detecting walking speed with wireless signals
By measuring this emerging vital sign, CSAIL system could help monitor and diagnose health issues like cognitive decline and cardiac disease.
Faster page loads
System allocates data center bandwidth more fairly, so no part of a webpage lags behind others.
Testing new networking protocols
New approach speeds up testing of traffic management solutions for data center networks.
John Tsitsiklis appointed director of the Laboratory for Information and Decision Systems
Professor of electrical engineering and computer science will also take on the new role of associate director of the Institute for Data, Systems, and Society.
Daniel Zuo: Creative approaches to connectivity
MIT senior and Marshall Scholar will pursue research on algorithms to improve computer networks.
Fadel Adib joins Media Lab faculty
Adib is directing a new research group at the Media Lab, aiming to uncover, analyze, and engineer natural and human-made networks.
Creating videos of the future
Given a still image, CSAIL deep-learning system generates videos that predict what will happen next in a scene.