Bridging the Gap Between AI and Physical Reality in Scientific Research

“While language models may help generate new ideas, they cannot attack the hard part of science, which is simulating the necessary physics,” says AI professor Anima Anandkumar. She explains how her team developed neural operators — AI trained on the finest details of the real world — to bridge this gap, sharing recent projects ranging from improved weather forecasting to cutting-edge medical device design that demonstrate the power of AI with universal physical understanding.

Want to help shape TED’s shows going forward? Fill out our survey!

Become a TED Member today at https://ted.com/join

Hosted on Acast. See acast.com/privacy for more information.