A Lincoln Laboratory team visited Hill Air Force Base in Utah to determine how susceptible the latest-generation mobile network is to detection, geolocation, and jamming.
“PhotoGuard,” developed by MIT CSAIL researchers, prevents unauthorized image manipulation, safeguarding authenticity in the era of advanced generative models.
The dataset, being collected as part of a US Coast Guard science mission, will be released open source to help advance naval mission planning and climate change studies.
PIGINet leverages machine learning to streamline and enhance household robots' task and motion planning, by assessing and filtering feasible solutions in complex environments.
Experts from MIT’s School of Engineering, Schwarzman College of Computing, and Sloan Executive Education educate national security leaders in AI fundamentals.