Ever wondered how tennis pros are able to hit the ball with so much force, at extreme angles with incredible accuracy while still keeping it in the court? It comes down to physics. They leverage spin and a phenomenon called the Magnus effect. A NASA aerodynamics expert walks us through the basics. The concepts apply…
Climate change is arguably the greatest threat facing humanity today. Accurately predicting climate change is critical to plan for its disastrous impacts well in advance and to adapt to sea level rise, ecosystem shifts, and food and water security needs. The Fourier Neural Operator (FNO) — a novel AI model — learns complex physical systems…
With adversarial reinforcement learning, physically simulated characters can be developed that automatically synthesize lifelike and responsive behaviors. A character is first trained to perform complex motor skills by imitating human motion data. Once the character has acquired a rich repertoire of skills, it can reuse those skills to perform new tasks in a natural, lifelike…
Ifu Aniemeka talks about Physics Net on OpenAI Scholars Demo Day on September 20, 2018. Learn more: https://openai.com/blog/openai-scholars-2018-final-projects#ifu
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