AI for Science

General

• AI for Science 101

• AI for Science Community

• AI4Sci Education Organization

• AI4Science Talks

• Cornell AI for Science Seminar Series

• Microsoft AI4Science Community

• Caltech CS159 Representation Learning for Science

• Artificial Intelligence For Science: A Deep Learning Revolution by Alok Choudhary, Geoffrey C Fox, Tony Hey

Biology & Chemistry

Foundations

• MIT 7.01SC Fundamentals Of Biology

• MIT MAS.63 How To Grow (almost) Anything

• Oxford How to Build a Brain from Scratch

• NYU Mathematical Tools for Neural and Cognitive Science

• Imperial College Neuroscience for Machine Learners

• MIT Molecular Biology - Part 1: DNA Replication and Repair / Part 2: Transcription and Transposition / Part 3: RNA Processing and Translation

• 中国科学院大学 - 基因组学

• 中国科学院大学 - 高通量测序数据分析技术

Computational & System Biology & Protein Design & Drug Discovery

• Harvard STAT215 Introduction to Bioinformatics and Computational Biology
• MIT 7.91J Foundations Of Computational And Systems Biology
• CMU 03-712 Biological Modeling and Simulation
• Stanford CS279 Computational Biology: Structure and Organization of Biomolecules and Cells
• Stanford BIO228 Computational Structural Biology: Protein Simulation, Function and Prediction
• Princeton CS597N Advanced Topics in Computer Science: Machine Learning for Structural Biology
• Princeton COS IW10 Molecular Machine Learning
• VT CS6824 AI-powered Molecular Modeling
• MIT 6.047 Machine Learning for Genomics
• UW Protein Design Videos
• ML for Protein Engineering Seminar Series
• UCSD Drug Discovery Specialization
• ICLR 2024 Workshop Generative and Experimental Perspectives for Biomolecular Design
• ICLR 2023 Workshop Machine Learning for Drug Discovery (MLDD)
• Caltech Biological Circuit Design

Healthcare

• MIT 6.S897 Machine Learning For Healthcare
• Stanford AI in Healthcare Specialization

Neuroscience

• MIT Centre for Brains + Minds + Machine Learning Hub
• Learn Medical Neuroscience
• JHU Neuroscience and Neuroimaging Specialization
• MIT 9.40 Introduction To Neural Computation
• EPFL Neural Networks and Biological Modeling
• Waterloo SYDE552 Computational Neuroscience
• UW Computational Neuroscience
• UCB Neuroscience299 Computing with High-Dimensional Vectors
• Neuromatch Computational Neuroscience
• Cajal Course in Computational Neuroscience
• Caltech Data Science and AI for Neuroscience Summer School

Physics & Computational Science

• Machine Learning for Physicists
• Machine Learning and Physical Sciences Workshops
• Steve Brunton - Machine Learning for Fluid Mechanics
• Steve Brunton - Physics Informed Machine Learning
• Data-Driven Science and Engineering: Machine Learning, Dynamical Systems and Control
• ETH Deep Learning in Scientific Computing
• Data-Driven Modeling & Scientific Computation

Math

• AI for Math Resources

Astronomy

• University of Arizona Astronomy: Exploring Time and Space
• Rutgers Analyzing the Universe
• A Beginner Guide to Astro-Statistics and Astro-Machine-Learning
• NRC Astronomical Data Analysis using Python
• Yale ASTR160 Frontiers and Controversies in Astrophysics
• University of Sydney Data-driven Astronomy
• Machine Learning for Astrophysics Repo
• Caltech Astronomy Public Lecture Series
• SPARC Workshop on Machine Learning in Solar Physics and Space Weather
• AstroTwinCoLo - Computational Astrophysics
• Caltech AstroInformatics 2019

Quantum

• UChicago Quantum Computing for Everyone
• NYU Introduction to Quantum Information and Quantum Computing
• UW CS599Q Introduction to Quantum Computing
• Qiskit Summer School - Introduction to Quantum Computing and Quantum Hardware
• Qiskit Summer School - Understanding Quantum Information and Computation
• UChicago Quantum Computer Systems
• CMU 15-859BB Quantum Computation and Quantum Information
• MIT 8.370 Quantum Information Science
• Caltech CS219 Quantum Computation
• UCB Quantum Mechanics and Quantum Computation
• TUM Einführung in Quantum Computing
• TUM Advanced Concepts of Quantum Computing
• TUDelft The Building Blocks of a Quantum Computer: Part 1
• TUDelft The Building Blocks of a Quantum Computer: Part 2