15–17 Dec 2026
University of Hawaii, Manoa
US/Pacific timezone

The next frontier of AI (a.k.a. Super Intelligence) for science is learning how to translate scientific challenges into a form that AI can solve effectively. Motivated in part the emerging opportunities of Genesis Mission, this workshop aims to identify and translate key problems in High Energy/Nuclear Physics (HENP) and Quantum Computing/Sensing around two complementary goals: Harnessing and Aligning

  • Harnessing AI for Science: We want to identify what we already have and what we need for AI to make a bigger splash in HENP, Quantum, and Accelerator Control. 
  • Aligning with AI: We want to blur the traditional boundaries across different experiments, rallying experts from different domain under the common interest of foundation model, fastML, and agentic AI.

The workshop will feature a special format called H&A Sessions (Harnessing and Alignment Sessions). Unlike traditional presentation-heavy conference sessions, H&A Sessions aims to have everyone engage in an open discussion and opinion exchange. Participants will work in small groups to exchange perspectives, debate ideas, and identify promising research and collaboration opportunities. Each group will briefly share its key findings, followed by a facilitator-led discussion to synthesize them into a single session quad chart outlining how to harness AI and strengthen alignment across experiments for DOE Genesis Mission Phase II submissions and other collaborative opportunities.

Registration Deadline: Nov. 20th, 2026

Conference information

Date/Time

Starts

Ends

All times are in US/Pacific

Location

University of Hawaii, Manoa

Extra information

Sponsor

NSF Accelerated AI Algorithms for Data-Driven Discovery (A3D3) Institute


H&A Session Coordinator

Foundation Model: Kazuhiro Terao (SLAC)

Agentic AI: Phil Harris (MIT)

Quantum Computing and Sensing: Mark Neubauer (UIUC)

Fast Machine Learning: TBD

High Energy and Nuclear Physics: Shih-Chieh Hsu (UW)

Experiment Design and Accelerator Control: Siqi Li (UH Manoa)

Registration
Registration for this event is currently open.