Researchers create a tool for accurately simulating complex systems
The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.
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.
CSAIL research affiliate and MIT Corporation life member emeritus is honored with the “Nobel Prize of computing” for Ethernet invention.
By keeping data fresh, the system could help robots inspect buildings or search disaster zones.
The prize is the top honor within the field of communications technology.
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.
Carlo Ratti investigates how digital technologies transform our urban spaces and how they can be harnessed to design sustainable cities for the future.
Algorithms designed to ensure multiple users share a network fairly can’t prevent some users from hogging all the bandwidth.
“Privid” could help officials gather secure public health data or enable transportation departments to monitor the density and flow of pedestrians, without learning personal information about people.
New chip eliminates the need for specific decoding hardware, could boost efficiency of gaming systems, 5G networks, the internet of things, and more.
MIT professor is designing the next generation of smart wireless devices that will sit in the background, gathering and interpreting data, rather than being worn on the body.
ARROW, a reconfigurable fiber optics network developed at MIT, aims to take on the end of Moore’s law.
Two research projects on the design of state-of-the-art hardware could one day power next-generation 5G and 6G mobile networks.
Researchers share progress applying network science to disinformation tracing, Covid-19 modeling, and machine learning.