A new chip for decoding data transmissions demonstrates record-breaking energy efficiency
The chip, which can decipher any encoded signal, could enable lower-cost devices that perform better while requiring less hardware.
Solving brain dynamics gives rise to flexible machine-learning models
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.
Designing the cities of tomorrow
Carlo Ratti investigates how digital technologies transform our urban spaces and how they can be harnessed to design sustainable cities for the future.
Researchers discover major roadblock in alleviating network congestion
Algorithms designed to ensure multiple users share a network fairly can’t prevent some users from hogging all the bandwidth.
Security tool guarantees privacy in surveillance footage
“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.
A universal system for decoding any type of data sent across a network
New chip eliminates the need for specific decoding hardware, could boost efficiency of gaming systems, 5G networks, the internet of things, and more.
Q&A: Dina Katabi on a “smart” home with actual intelligence
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.
Who can bend light for cheaper internet?
ARROW, a reconfigurable fiber optics network developed at MIT, aims to take on the end of Moore’s law.
MIT and Ericsson enter collaboration agreements to research the next generation of mobile networks
Two research projects on the design of state-of-the-art hardware could one day power next-generation 5G and 6G mobile networks.
Lincoln Laboratory convenes top network scientists for Graph Exploitation Symposium
Researchers share progress applying network science to disinformation tracing, Covid-19 modeling, and machine learning.
SMART breakthrough uses artificial neural networks to enhance travel behavior research
Theory-based residual neural network combines discrete choice models and deep neural networks, long viewed as conflicting methods.
Job connectivity improves resiliency in US cities, study finds
New research offers insight for city planning and workforce development.
More transparency and understanding into machine behaviors
A new tool helps humans better understand and develop artificial intelligence models by searching and highlighting representative scenarios.
Researchers develop speedier network analysis for a range of computer hardware
The advance could boost recommendation algorithms and internet search.
Reductions in CFC-11 emissions put ozone recovery back on track
Scientists observe reduction in emissions of banned ozone-depleting chemical after unexpected spike.