July 14, 2026 — The Fast Machine Learning (FastML) Foundation will hold the Fast Machine Learning for Science Conference 2026 through the University of California San Diego from Aug. 31 to Sept. 4. FastML will take place at the Halıcıoğlu School of Data Science and Computing San Diego Supercomputer Center.
Early bird registration, which ends July 15, is $500 for in-person attendance, $50 for remote attendance and $20 for hackathon-only attendance. After July 15, registration is $650 for in-person attendance, $65 for remote attendance and $26 for hackathon-only attendance.
The conference is an opportunity to examine the vast applications of machine learning (ML) in various fields of science and explore emerging ML methods.
Topics include Machine Learning Algorithm Design and Optimization, Accelerated Inference and Real-Time Processing, Scalable and Distributed ML Systems, Advanced Hardware and Computing Architectures, Scientific Applications of Fast ML and more.
At this conference, researchers and students will present posters, presentations, tutorials and topical sessions. There will be 90-minute poster and presentation sessions and 15-minute spotlight presentations selected by the committee. Tutorials will be presented Aug. 31 and topical sessions and hackathons are scheduled for Sept. 3 and Sept. 4.
The Fast Machine Learning for Science Conference is funded by the National Science Foundation (NSF) Harnessing the Data Revolution (HDR) Institute AI-Accelerated Algorithms for Data-Driven Discovery (A3D3) and Exploring Neural Network Processors for AI in Science and Engineering (Voyager).
Source: Joanne Liu, SDSC
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