Category: Machine learning

The School of Engineering has selected 13 new Takeda Fellows for the 2023-24 academic year. With support from Takeda, the graduate […]

Imagine you’re visiting a friend abroad, and you look inside their fridge to see what would make for a great breakfast. […]

Connectomics, the ambitious field of study that seeks to map the intricate network of animal brains, is undergoing a growth spurt. […]

A quick scan of the headlines makes it seem like generative artificial intelligence is everywhere these days. In fact, some of […]

With 3D inkjet printing systems, engineers can fabricate hybrid structures that have soft and rigid components, like robotic grippers that are […]

Personalized deep-learning models can enable artificial intelligence chatbots that adapt to understand a user’s accent or smart keyboards that continuously update […]