James Glass
Method teaches generative AI models to locate personalized objects
Say a person takes their French Bulldog, Bowser, to the dog park. Identifying Bowser as he plays among the other canines is easy for the dog-owner to do while onsite. But if someone wants to use a generative AI model like GPT-5 to monitor their pet while they are at work, the model could fail…
AI learns how vision and sound are connected, without human intervention
Humans naturally learn by making connections between sight and sound. For instance, we can watch someone playing the cello and recognize that the cellist’s movements are generating the music we hear. A new approach developed by researchers from MIT and elsewhere improves an AI model’s ability to learn in this same fashion. This could be…