In a paradigm-shifting development for computational research, the San Diego Supercomputer Center (SDSC) has officially announced it will host the Fast Machine Learning for Science Conference 2026. Unveiled on July 17, 2026, this pivotal event, organized by the Fast Machine Learning (FastML) Foundation, will convene at the Halıcıoğlu Data Science Institute from August 31 to September 4. www.hpcwire.com Read the full HPCwire announcement here.

Accelerating Scientific Discovery

The conference serves as a premier global forum to examine the vast applications of machine learning across diverse scientific disciplines and to explore nascent ML methodologies. www.hpcwire.com Core thematic tracks will encompass Machine Learning Algorithm Design and Optimization, Accelerated Inference and Real-Time Processing, Scalable and Distributed ML Systems, and Advanced Hardware and Computing Architectures. www.hpcwire.com By fostering cross-disciplinary collaboration, the event aims to ameliorate the computational bottlenecks that currently hinder large-scale scientific simulations.

A Convergence of Global Experts

Attendees will engage in a rigorous schedule featuring poster sessions, formal presentations, and intensive tutorials. www.hpcwire.com The program includes 90-minute poster and presentation blocks, alongside 15-minute spotlight presentations meticulously selected by the organizing committee. www.hpcwire.com Furthermore, specialized hackathons and topical sessions are scheduled for September 3 and 4, providing hands-on opportunities for researchers and students to prototype solutions using cutting-edge infrastructure. www.hpcwire.com

Key Strategic Takeaways

  • Hosted at UC San Diego’s Halıcıoğlu Data Science Institute from August 31 to September 4, 2026.
  • Funded by the NSF Harnessing the Data Revolution (HDR) Institute initiatives.
  • Features dedicated tracks for accelerated inference, scalable ML systems, and scientific applications.
  • Includes interactive hackathons and 15-minute spotlight presentations for emerging research.

Institutional Backing and Accessibility

The Fast Machine Learning for Science Conference is substantially supported by the National Science Foundation (NSF) through its Harnessing the Data Revolution (HDR) Institute, specifically the AI-Accelerated Algorithms for Discovery (A3D3) and Voyager initiatives. www.hpcwire.com To ensure broad accessibility, the organizers have structured a tiered registration model. Early bird registration, which concluded on July 15, offered in-person attendance for $500 and remote attendance for $50. www.hpcwire.com Standard rates now apply, reflecting the high value and ubiquitous demand for advanced machine learning expertise in modern scientific research. www.hpcwire.com

Note: As no official social media embed from the organization was available at the time of publication, readers are directed to the official HPCwire report and the UC San Diego Events Calendar for the primary institutional statement and comprehensive registration details.