Caltech Professor Anima Anandkumar is spearheading the development of neural operators to overcome the data limitations faced by traditional AI models in physics. By integrating physical laws and inductive biases into neural architectures, this approach enables accurate simulation of complex systems like weather forecasting and fusion without relying on massive, nonexistent datasets.