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FastML Foundation

A non-profit foundation advancing real-time and accelerated ML for fundamental sciences

The purpose of the Foundation is to cultivate resources in support of the multi-disciplinary Fast ML for Science community of domain science, machine learning and engineering researchers for the advancement of accelerated and autonomous scientific experimentation. These resources will be used to share, support, and maintain the community’s shared research, software tools, and hardware platforms for scientific applications with the highest standards of inclusiveness, openness, accountability, and transparency.

News

Latest updates from the FastML community.

CERN Courier

CERN Courier

An article in the CERN Courier about AI Triggers at CERN titled "Hunting anomalies with an AI trigger"

Symmetry Magazine

Symmetry Magazine

Symmetry Magazine article about fast AI trigger systems in particle physics titled "Blink and it's gone"

Tiny MLPerf

Tiny MLPerf

hls4ml team submits results for the first Tiny MLPerf Inference Benchmark

Nvidia Triton

Nvidia Triton

Scaling Inference in High Energy Particle Physics at Fermilab Using NVIDIA Triton Inference Server

Zenuity

Zenuity

Zenuity has become the first automotive company to team up with CERN to develop ML for autonomous drive cars

Microsoft Azure

Microsoft Azure

Microsoft Azure collaboration deploying FPGAs to accelerate ML to prototype computing solutions for future big science experiments

Xilinx Case Study

Xilinx Case Study

A story from Xilinx on how we use high level synthesis to find the best events at the Large Hadron Collider

Events

We share upcoming and past events for the community.

Fast Machine Learning for Science Workshop 2026

Aug 31-Sep 4, 2026

UC San Diego

Fast Machine Learning for Science Conference 2025

Sep 1-5, 2025

ETH Zurich

Fast Machine Learning for Science Conference 2024

Oct 15-18, 2024

Purdue University

Fast Machine Learning for Science Workshop 2023

Sep 25-28, 2023

Imperial College London

Fast Machine Learning for Science Workshop 2022

Oct 3-6, 2022

Southern Methodist University

Fast Machine Learning Workshop 2020

Nov 30-Dec 3, 2020

Virtual, hosted by Southern Methodist University

Fast Machine Learning Workshop 2019

Sep 10-13, 2019

Fermi National Accelerator Laboratory

Resources

Core projects and platforms from the FastML ecosystem.

hls4ml

hls4ml

Open-source framework for translating ML algorithms into FPGA firmware.

SuperSONIC

SuperSONIC

A research project focused on accelerated real-time scientific ML systems.

FastML GitHub Repositories

FastML GitHub Repositories

Community software projects, examples, and shared development resources.

Collaboration

We are a community that fosters knowledge transfer of accelerated and real-time artificial intelligence for fundamental science. By participating, you agree to abide by our code of conduct and collaboration policies.

Collaborating Institutes

  • Argonne National Laboratory
  • CERN
  • California Institute of Technology
  • Carnegie Mellon University
  • ETH Zurich
  • Fermi National Accelerator Laboratory
  • Georgia Institute of Technology
  • HEPIA - Haute école du paysage, d'ingénierie et d'architecture
  • Imperial College London
  • Jefferson Lab
  • Jožef Stefan Institute
  • KIT
  • LPNHE, CNRS/IN2P3, France
  • Los Alamos National Laboratory
  • Massachusetts Institute of Technology
  • National Yang Ming Chiao Tung University
  • Northwestern University
  • Norwegian University of Science and Technology
  • Pacific Northwest National Laboratory
  • Princeton University
  • Purdue University
  • SLAC
  • Southern Methodist University
  • Technical University of Denmark
  • Tohoku University
  • UC San Diego
  • UCL
  • University of Bristol
  • University of Chicago
  • University of Colorado Boulder
  • University of Geneva
  • University of Illinois at Urbana-Champaign
  • University of Michigan
  • University of Pennsylvania
  • University of Washington
  • University of Wisconsin-Madison
  • Université de Sherbrooke

Governance

Leadership and advisory groups guiding the Foundation's mission and programs.

Board of Directors

Executive leadership.

Philip Harris
Philip Harris
Chair
MIT
Thea Aarrestad
Thea Aarrestad
Deputy Chair
ETH Zurich
Alex Tapper
Alex Tapper
Secretary
Imperial College London
Ryan Kastner
Ryan Kastner
Treasurer
UC San Diego
Javier Duarte
Javier Duarte
Conference Chair
UC San Diego

Advisory Council

Representatives from collaborating institutes.

Wilkie Olin-Ammentorp
Argonne National Laboratory
Jean-Roch Vlimant
California Institute of Technology
Matteo Cremonesi
Carnegie Mellon University
Maurizio Pierini
CERN
Thea Aarrestad
ETH Zurich
Nhan Tran
Fermi National Accelerator Laboratory
Pan Li
Georgia Institute of Technology
Andres Upegui
HEPIA - Haute école du paysage, d'ingénierie et d'architecture
Alex Tapper
Imperial College London
Sergey Furletov
Jefferson Lab
Judita Mamuzic
Jožef Stefan Institute
Torben Ferber
KIT
Ming Liu
Los Alamos National Laboratory
Philip Harris
Massachusetts Institute of Technology
Bo-Cheng Lai
National Yang Ming Chiao Tung University
Seda Ogrenci
Northwestern University
Antonino Tumeo
Pacific Northwest National Laboratory
Isobel Ojalvo
Princeton University
Mia Liu
Purdue University
Rainer Bartoldus
SLAC
Javier Duarte, Farouk Mokhtar
UC San Diego
Nikos Konstantinidis
UCL
Karri DiPetrillo
University of Chicago
Keith Ulmer
University of Colorado Boulder
Mark Neubauer
University of Illinois at Urbana-Champaign
Christian Herwig
University of Michigan
Dylan Rankin
University of Pennsylvania
Audrey Corbeil Therrien
Université de Sherbrooke
Shih-Chieh Hsu
University of Washington
Benedikt Riedel
University of Wisconsin-Madison
Hao Li
Tohoku University
Allison Mccarn Deiana
Southern Methodist University
Vava Gligorov
LPNHE, CNRS/IN2P3, France
João Böger
Technical University of Denmark
Sudarshan Paramesvaran
University of Bristol
Anna Sfyrla
University of Geneva
Yaman Umuroglu
Norwegian University of Science and Technology

Sponsors and Partners

We are graciously funded by the following organizations:

European Research Council Department of Energy National Science Foundation Internet 2 DARPA

And are collaborating with these organizations:

Institute for Research and Innovation in Software for High Energy Physics Institute for Accelerated AI Algorithms for Data-Driven Discovery