Imagine you’re visiting a friend abroad, and you look inside their fridge to see what would make for a great breakfast. Many of the items initially appear foreign to you, with each one encased in unfamiliar packaging and containers. Despite these visual distinctions, you begin to understand what each one is used for and pick them up as needed.
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.
Anyone who has ever tried to pack a family-sized amount of luggage into a sedan-sized trunk knows this is a hard problem. Robots struggle with dense packing tasks, too.
Produced with techniques borrowed from Japanese paper-cutting, the strong metal lattices are lighter than cork and have customizable mechanical properties.
