AI for Gravitational Waves Workshop @ CERN

The AI for Gravitational Waves Workshop will be hosted at CERN May 5-8th, 2026.

As gravitational-wave (GW) observatories enter an era of rapidly increasing detector sensitivity, bandwidth, and data rates—while the machine-learning (ML) ecosystem continues to mature—there is a timely opportunity to bring together the GW and AI communities in a focused setting at CERN.

This workshop will convene researchers from the LIGO–Virgo–KAGRA (LVK) collaboration, the Einstein Telescope (ET), LISA, and the broader CERN AI community to (i) share recent advances, (ii) identify common technical challenges across experiments, and (iii) seed new cross-disciplinary collaborations—especially those relevant to next-generation detectors and real-time analysis. A dedicated focus will be placed on real-time data processing and next-generation triggers, highlighting synergies between GW low-latency pipelines and high-energy physics trigger/DAQ developments.

Workshop format 

The program combines invited keynotes and contributed talks, plus posters and hands-on tutorials:

• Tuesday: Keynotes (LVK, ET, LISA, AI @ CERN)

• Wednesday: Contributed talks — AI for detector operations and AI for GW simulation; AI for data analysis; keynote on AI tools for edge computing; tutorials

• Thursday–Friday: Contributed talks — Next-Generation Triggers and AI for real-time data processing; tutorials; closing plenary and discussion on GW collaborations with CERN

Important deadlines

• Abstract submission for contributed talks deadline - March 25th

• Poster submissions deadline - March 25th

• Acceptance announcement - March 26th

• Registration deadline - May 1st

We welcome contributions for

• Contributed talks

• Posters

Scientific committee

• Elena Cuoco (University of Bologna)

• Valerie Domcke (CERN)

• Jan Harms (Gran Sasso Science Institute)

• Gianluca Inguglia (Austrian Academy of Sciences)

• Erik Katsavounidis (MIT)

• Samaya Nissanke (DESY, German Centre for Astrophysics DZA)

Organising committee

• Katya Govorkova (MIT)

• Eric Moreno (MIT)

• Maurizio Pierini (CERN)