
About this Event
Physics-Guided AI for Accelerating Scientific Discovery
While AI has shown tremendous success in many scientific fields, it remains a grand challenge to incorporate physical principles in a systematic manner into the design and training of these models. In this talk, I will introduce Physics-Guided AI, a framework that aims to integrate first-principled physical knowledge into data-driven methods. By combining the best of both worlds, we can significantly improve sample complexity, computational efficiency, prediction accuracy, and scientific validity of AI models. I will showcase the applications of this framework to accelerate hypothesis generation and discovery in various scientific disciplines.
Rose Yu, University of California, San Diego
The National Academies of Sciences, Engineering, and Medicine (National Academies) are committed to the principles of integrity, civility, and respect in all of our activities. We look to you to be a partner in this commitment by helping us to maintain a professional and cordial environment. All forms of discrimination, harassment, and bullying are prohibited in any National Academies activity. This policy applies to all participants in all settings and locations in which the National Academies work and activities are conducted, including committee meetings, workshops, conferences, and other work and social functions where employees, volunteers, sponsors, vendors, or guests are present.
Event Venue & Nearby Stays
Beckman Center, 100 Academy Way, Irvine, United States
USD 0.00