Using Physics as Training Data for Foundation Models

In this episode of Gradient Dissent, Sergiy Nesterenko, CEO of Quilter, explores the transformative potential of AI in physics simulations. Nesterenko discusses how AI models, particularly reinforcement learning, can significantly accelerate simulations for electromagnetics and thermal concerns in PCB and chip design. He envisions a future where physics foundation models, akin to large language models, can provide reusable, versatile solutions applicable across various fields of physics. These models could revolutionize the way we approach and solve complex physical problems, leading …

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