Towards Universal Intelligence in AI

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Current AI models are constrained by their specialized training domains. The goal is to develop a generalist AI capable of addressing a wide variety of scientific challenges, including advancements in aviation, aerospace, pharmaceuticals, and medical technology. This innovative AI aims to simulate physical phenomena and produce unprecedented design solutions. The focus is on scaling neural operators to achieve general intelligence coupled with a comprehensive understanding of physical laws.

“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.