What is AI for Science - Models, Data, and Computation
Scalable Parallel Computing Lab, SPCL @ ETH Zurich via YouTube
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Explore the intersection of artificial intelligence and scientific research through this 17-minute video that presents a comprehensive framework for AI for Science. Learn how traditional modeling and simulation techniques can be effectively combined with modern data-driven approaches to accelerate scientific discovery. Discover the central role of High-Performance Computing (HPC) as the foundational technology that unifies both scientific methodologies, creating a powerful accelerator for scientific progress and human advancement. Gain insights into how computational resources, mathematical models, and data analytics work together to transform the way scientific research is conducted across various disciplines. Understand the strategic importance of integrating these complementary approaches to tackle complex scientific challenges and drive innovation in the digital age.
Syllabus
What is AI for Science - Models, Data, and Computation
Taught by
Scalable Parallel Computing Lab, SPCL @ ETH Zurich