Studying a powerful type of cyberattack, researchers identified a flaw in how it’s been analyzed before, then developed new techniques that stop it in its tracks.
“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.
“We aim to inspire the next generation of great computer science researchers who will invent, design and program intelligent computers that we can only dream of today,” says MIT professor Srini Devadas, who runs the computer science section of PRIMES that began in 2012.
The potential applications of AI, spanning civilian and military uses, are diverse, and include advances in areas like restorative and regenerative medical care, cyber resiliency, natural language processing, computer vision, and autonomous robotics.
CSAIL's new initiative, led by Daniel Weitzner and Srini Devadas, will focus on topics such as database systems, applied cryptography, AI and machine learning, and human-computer interaction.
