Overview
This course covers the application of artificial intelligence in scientific research, focusing on deep learning and scientific machine learning. Students will learn about the Deep Learning Revolution, its breakthroughs, and its applications in the IT industry and national labs. The course also explores specific tools such as cryoelectron microscopy and AlphaFold, as well as techniques to handle adversarial noise in experiments. The teaching method involves a stage talk at a conference, making it suitable for professionals and researchers interested in the intersection of AI and science.
Syllabus
Introduction
Deep Learning Revolution
The Breakthrough
Deep Learning
IT Industry
National Labs
Scientific Machine Learning
cryoelectron microscopy
adversarial noise
experiments
AlphaFold
Taught by
AAAS Annual Meeting