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.
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.
Congestion control system could help streaming video, mobile games, and other applications run more smoothly.
External system improves phones’ signal strength 1,000 percent, without requiring extra antennas.
Routing scheme boosts efficiency in networks that help speed up blockchain transactions.
Connected devices can now share position information, even in noisy, GPS-denied areas.
Study analyzes how networks can distort voters’ perceptions and change election results.
MIT system “learns” how to optimally allocate workloads across thousands of servers to cut costs, save energy.
“Risk-aware” traffic engineering could help service providers such as Microsoft, Amazon, and Google better utilize network infrastructure.
Along with studying theory, "it's also important to me that the work we are doing will help to solve real-world problems,” says LIDS student Omer Tanovic.
MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects.
System better allocates time-sensitive data processing across cores to maintain quick user-response times.
Lincoln Laboratory's lidar data, processed quickly with support from the organization MCNC, helped FEMA assess flooding and damages caused by Hurricane Florence.
“The reason 5G is so different is that what exactly it will look like is still up in the air. Everyone agrees the phrase is a bit of a catch-all.”