ML in Physical Sciences
Exciting advancements in machine learning are emerging within the physical sciences, particularly in areas like earthquake prediction and drug discovery. The conversation highlights the importance of optimization in real-world applications, contrasting it with digital-focused scenarios. With ML maturing, there’s a growing enthusiasm for its potential to tackle significant challenges, such as nuclear fusion and thermophotovoltaics.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Optimization School with Dr. Mike - #545
Related Questions