The chapter explores the benefits of utilizing AI in solving complex physics problems, emphasizing the accuracy and reliability of computational solutions over human judgment. It discusses the significance of considering factors like speed, cost, and complexity in the design process, as well as the strategic allocation of compute resources for real-time simulations. Furthermore, it delves into innovative methods like quasi-static approximation and applying big data approaches for electromagnetics and circuit board design, while touching on the challenges of data quality and talent acquisition in hard tech projects.

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