MIT Generative AI Week reflects our conviction that MIT has a special responsibility to help society come to grips with the tectonic forces of generative AI – to understand its potential, contain its risks, and harness its power for good. Our objective is to spotlight the insights of our MIT researchers, stimulate thoughtful analysis, and engage in critical dialogues on the implications and possibilities of generative AI in our ever-shifting landscape.
Two studies find “self-supervised” models, which learn about their environment from unlabeled data, can show activity patterns similar to those of the mammalian brain.
The SecureLoop search tool efficiently identifies secure designs for hardware that can boost the performance of complex AI tasks, while requiring less energy.
While any two human genomes are about 99.9 percent identical, genetic variation in the remaining 0.1 percent plays an important role in shaping human diversity, including a person’s risk for developing certain diseases.