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.
Inequality across networks
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.
Fotini Christia named director of the Sociotechnical Systems Research Center
Political science professor will spearhead the Institute’s interdisciplinary center that studies high-impact, complex societal challenges.
3 Questions: Why getting ahead of Covid-19 requires modeling more than a health crisis
Researchers urge a holistic approach to forecasting the virus’ impact on public health and the economy.
Reducing delays in wireless networks
Congestion control system could help streaming video, mobile games, and other applications run more smoothly.
A smart surface for smart devices
External system improves phones’ signal strength 1,000 percent, without requiring extra antennas.
Giving cryptocurrency users more bang for their buck
Routing scheme boosts efficiency in networks that help speed up blockchain transactions.
System helps smart devices find their position
Connected devices can now share position information, even in noisy, GPS-denied areas.
How “information gerrymandering” influences voters
Study analyzes how networks can distort voters’ perceptions and change election results.
Artificial intelligence could help data centers run far more efficiently
MIT system “learns” how to optimally allocate workloads across thousands of servers to cut costs, save energy.
Using Wall Street secrets to reduce the cost of cloud infrastructure
“Risk-aware” traffic engineering could help service providers such as Microsoft, Amazon, and Google better utilize network infrastructure.