Jesse Thaler

"AI and physics is really a two-way street: AI’s influence on how we research new physics phenomena, but also applying physics thinking to the way that AI systems operate."

"I basically told them, in no uncertain terms, that this was not the way that I thought physics research should be going. And they agreed with me, actually, about the off-the-shelf use of machine learning."

"Where would someone live within the academic ecosystem if they wanted to dive into physics topics, but also computation and statistics? That was the motivation for submitting a grant to the NSF to start this institute.If you think about AI solely as it applies to fundamental physics research, we have massive challenges in our field and we’re trying to understand some of the deepest questions in nature."

"Cosmology is another area with massive amounts of data and massive computational costs to run simulations of the universe. Without something like machine learning, we simply wouldn't be able to tackle those problems."

"there is physics for AI, where there are concepts from physics that can help you build better AI tools, even if you aren’t directly studying physical systems. You can build machine learning architectures that have physics-style reasoning embedded and those concepts turn out to be quite powerful."