Introduction and goals of the workshop

• Tova Holmes (University of Tennessee)

Muon Collider Overview

• Larry Lee (University of Tennessee)

Overview of AI for accelerators within the US DOE Genesis Mission

• Jean-Luc Vay

HEP Community Organization for AI

• Peter Elmer
• Tulika Bose (University of Wisconsin-Madison)

Modern differentiable particle tracking code frameworks

• Chenran Xu (Argonne National Laboratory)

Progress on AI-assisted design, tuning, and commissioning tools

• Auralee Edelen (SLAC)

Targetry at a Muon Collider

• Katsuya Yonehara (Fermilab)

Example: AI for Targetry at the SNS

• Drew Winder

Discussion

AI for Magnet Development

• Maira Khan (Fermi National Accelerator Laboratory)

AI for RF Technology

• David Bizzozero (SLAC)

Discussion

Ionization Cooling at a Muon Collider

• J. Scott Berg (Brookhaven National Laboratory)

Example: Differentiable simulation for ionization cooling

• Nicholas Smith (Fermilab)

Discussion

Detector design at a Muon Collider

• Federico Meloni (Deutsches Elektronen-Synchrotron DESY)

Example: Optimization at the EIC

• Cristiano Fanelli (William & Mary)

Discussion

Detector R&D at a Muon Collider

• Sergo Jindariani (FNAL)

Example: Smart Pixels

• Ryan Roberts (Unniversity of Chicago, Enrico Fermi Institute)

Discussion

BIB Simulation at a Muon Collider

• John Dervan (University of Tennessee)

Example: Generative BIB

• Radha Mastandrea (The University of Chicago)

Discussion

SW & Reconstruction at a Muon Collider

• Matt LeBlanc (Brown University)

Example: Agents for Software

• Gordon Watts (University of Washington)

Discussion

Experience from the EIC - A Unified Vision of AI/ML

• Linh Nguyen (Brookhaven National Laboratory)

Discussion & Close-Out