This podcast episode discusses the journey of an AI researcher who aims to bridge the gap between the physical and digital worlds through her work in science and engineering. The researcher emphasizes the importance of training AI on observed data to achieve universal physical understanding. Neural operators, an AI technology that allows zooming into fine-scale details indefinitely, have been used to simulate physical phenomena and develop innovative applications such as a superior medical catheter and high-resolution weather models. These applications demonstrate the great potential of AI and neural operators in addressing significant challenges and advancing scientific understanding.
