What do AlphaFold2, ESM1&2, ChatGPT, GPT-4, DALL-E, and a growing list of generative AI methods have in common? The word disruption comes to mind. Those of us who started our love affair with AI because we wanted to advance scientific enquiry and the human condition are familiar with disruptions.
Through representative examples, Amarda Shehu, professor in the Department of Computer Science and associate dean for AI Innovation in the College of Engineering and Computing at George Mason University, will showcase her laboratory’s work on generative AI before and after deep learning.
Sponsored by the Lucy Family Institute for Data & Society.