Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.
This technology for storing and transmitting quantum information over lossy links could provide the foundation for scalable quantum networking.
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.
The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.
MIT researchers exhibit a new advancement in autonomous drone navigation, using brain-inspired liquid neural networks that excel in out-of-distribution scenarios.
By keeping data fresh, the system could help robots inspect buildings or search disaster zones.
The chip, which can decipher any encoded signal, could enable lower-cost devices that perform better while requiring less hardware.
MIT CSAIL researchers solve a differential equation behind the interaction of two neurons through synapses to unlock a new type of speedy and efficient AI algorithm.