Technique enables AI on edge devices to keep learning over time
With the PockEngine training method, machine-learning models can efficiently and continuously learn from user data on edge devices like smartphones.
With the PockEngine training method, machine-learning models can efficiently and continuously learn from user data on edge devices like smartphones.
The machine-learning method works on most mobile devices and could be expanded to assess other motor disorders outside of the doctor’s office.
By synchronizing media streams transmitted from the cloud to two devices, researchers could improve cloud gaming and AR/VR applications.
Developed by MIT researchers, BrightMarkers are invisible fluorescent tags embedded in physical objects to enhance motion tracking, virtual reality, and object detection.
A Lincoln Laboratory team visited Hill Air Force Base in Utah to determine how susceptible the latest-generation mobile network is to detection, geolocation, and jamming.
Global participation in MIT RAISE’s free K-12 program more than doubles in its second year.
Researchers demonstrate a low-power “wake-up” receiver one-tenth the size of other devices.
The prize is the top honor within the field of communications technology.
The receiver chip efficiently blocks signal interference that slows device performance and drains batteries.
A new study suggests mobile data collected while traveling over bridges could help evaluate their integrity.
A new technique enables AI models to continually learn from new data on intelligent edge devices like smartphones and sensors, reducing energy costs and privacy risks.
Throughout his career, Professor Hal Abelson has worked to make information technology more accessible to people of all ages.
Researchers increase the accuracy and efficiency of a machine-learning method that safeguards user data.
Researchers demonstrate two security methods that efficiently protect analog-to-digital converters from powerful attacks that aim to steal user data.
New site offers mobile-responsive, search-optimized experience to a growing global audience of learners.