Extending AI Architectures to Address Continuous Scientific Problems

Artificial intelligence is proving to be transformative in its ability to work with language and images. Now, with a growing push to apply AI to scientific discovery, Caltech’s Anima Anandkumar says there is a crucial ingredient missing from most AI models: the ability to understand the physical world. Take as an example weather models, says Anandkumar, Caltech’s Bren Professor of Computing and Mathematical Sciences.