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