The Physics of Data with Alpha Lee - #377
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Bridging Physics and Machine Learning
This chapter explores the intricate relationship between drug discovery, chemistry, and machine learning, particularly through the lens of optimization processes. It highlights the parallels between physical systems and deep learning networks, emphasizing the role of energy landscapes in optimizing algorithms. The discussion underscores the potential of machine learning to inform and enhance physical theories, especially in complex areas such as quantum mechanics and material discovery.
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