Model from the Computer Science and Artificial Intelligence Laboratory identifies “serial hijackers” of internet IP addresses.

Connected devices can now share position information, even in noisy, GPS-denied areas.

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.

From digital circuits to ingestible robots, the Institute has helped spearhead key innovations in the technology revolution.

System better allocates time-sensitive data processing across cores to maintain quick user-response times.

Study identifies reasons for unsettled editing disagreements and offers predictive tools that could improve deliberation.