Algorithms for Physics: From Euclid to AI, and beyond - By Udayan Kanade
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Algorithms for Physics: From Euclid to AI, and beyond
Can the world around us - the physical world - be modeled using algorithms?
This quest started with Euclid, and has continued through Newton, Gauss and many other scientists to this day. Today, with massive computing power, modern machine learning algorithms and AI, where have we reached? Have we finally conquered the world of physics modeling? Or are there still challenges to be met and algorithms to be invented? Join us for a fun evening of philosophy and trivia - about the history, present and future of physics algorithms.
About the speaker:
Udayan Kanade studied computer science and scientific computation at Stanford University. He worked in the field of algorithm parallelization before starting his first company Oneirix Labs in 2005. While working on engineering R&D projects at Oneirix, Udayan realized that there was a large unmet need for physics simulations. This prompted him to start Noumenon Multiphysics, a group of computer scientists, engineers, mathematicians and physicists developing new algorithms for physics, in service of science and the engineering industry.