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Explore the intersection of particle physics and machine learning in this 44-minute Presidential Lecture where discover how machines can be programmed to adopt physics-based thinking through the integration of theoretical principles into sophisticated machine learning frameworks. Learn why physicists must adapt to machine-like thinking by leveraging computational optimization advances for precise calculations and new physics signal detection. Gain insights from Jesse Thaler's expertise as he bridges the gap between traditional physics approaches and modern machine learning applications in particle physics research.
