What can your microwave tell you about your health?
An MIT system uses wireless signals to measure in-home appliance usage to better understand health tendencies.
An MIT system uses wireless signals to measure in-home appliance usage to better understand health tendencies.
Tiny, battery-free ID chip can authenticate nearly any product to help combat losses to counterfeiting.
External system improves phones’ signal strength 1,000 percent, without requiring extra antennas.
Associate Professor Yury Polyanskiy is working to keep data flowing as the “internet of things” becomes a reality.
Connected devices can now share position information, even in noisy, GPS-denied areas.
RFID-based devices work in indoor and outdoor lighting conditions, and communicate at greater distances.
Efficient chip enables low-power devices to run today’s toughest quantum encryption schemes.
New system breaks up cache memory more efficiently to better protect computer systems against timing attacks.
Researchers incorporate optoelectronic diodes into fibers and weave them into washable fabrics.
Project out of the MIT Media Lab uses biosensors and machine learning to optimize the sensory experience in individual work environments.
Design can “learn” to identify plugged-in appliances, distinguish dangerous electrical spikes from benign ones.
Wireless smart-home system from the Computer Science and Artificial Intelligence Laboratory could monitor diseases and help the elderly “age in place.”
Platform connects individual pieces of lab equipment, compiles data in the cloud for speedier, more accurate research.
Workshop brings together academia and industry to explore how to prepare next-generation wireless for machine-to-machine communication.
MIT team develops software that can tell if tires need air, spark plugs are bad, or air filter needs replacing.