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.
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.
Theory-based residual neural network combines discrete choice models and deep neural networks, long viewed as conflicting methods.
New research offers insight for city planning and workforce development.
A new tool helps humans better understand and develop artificial intelligence models by searching and highlighting representative scenarios.
The advance could boost recommendation algorithms and internet search.
Scientists observe reduction in emissions of banned ozone-depleting chemical after unexpected spike.
Eaman Jahani examines how resources are distributed across networks as a social and engineering systems PhD student at the Institute for Data, Systems, and Society.
Political science professor will spearhead the Institute’s interdisciplinary center that studies high-impact, complex societal challenges.
Researchers urge a holistic approach to forecasting the virus’ impact on public health and the economy.