Model Scale Versus Domain Knowledge in Long-Term Forecasting of Chaos
45:04Operator Learning in Theory and Practice
49:23Science Education for AI: Beyond AI in Science Education
40:19From Polar Ice to Rising Seas: Advancing Climate Science with Machine Learning
43:02From Scheduled to Predictive Maintenance in Hydropower using AI
58:04Data-Driven Approaches to Mitigate Chalk Influxes
39:43Physical Insights from Discriminative and Generative Models for Frictional Surface Design
40:32Science Education for AI: Beyond AI in Science Education
Danny Caballero argues for a fundamental shift: prioritizing scientific literacy for an AI-driven world over merely integrating AI tools into existing science curricula.
Danny Caballero (Michigan State University) - We don’t need AI in science education, we need science education for AI
Operator Learning in Theory and Practice
Next · Lecture 4From Polar Ice to Rising Seas: Advancing Climate Science with Machine Learning