AI+HEP Curriculum

Curated educational resources for learning AI and High Energy Physics

A collection of lectures, tutorials, and learning materials designed to help students and researchers understand the intersection of artificial intelligence and high energy physics.

Foundational Physics

  • TASI Lectures on Collider Physics

    Author: Matthew D. Schwartz Type: Lecture Notes

    Comprehensive introduction to fundamental concepts and techniques in collider physics. Covers theoretical foundations, experimental methods, and modern analysis techniques.

AI + Physics

  • QCD Masterclass: Jet Physics and Machine Learning

    Author: Andrew J. Larkoski Type: Lecture Series

    Lectures from the 2024 QCD Masterclass that review core ML principles through concrete jet-tagging and jet-discrimination problems in collider physics.

  • TASI Lectures: Physics for Machine Learning

    Author: Jim Halverson Type: Lecture Notes

    Notes from Jim Halverson’s TASI 2024 lectures that develop neural network theory through a field-theory lens familiar to theoretical physicists.