Registration and Abstract Submission for Fast ML for Science Conference 2026 Now Open.
We are delighted to share that registration and abstract submission for Fast ML for Science Conference 2026 are now open!
The early-bird registration fees are $500 for in-person attendance, $50 for remote attendance, and $20 for hackathon-only attendance. After the early-bird registration deadline of July 15, 2026, the fees will increase to $650 for in-person attendance, $65 for remote attendance, and $26 for hackathon-only attendance.
Fee Waivers: Thanks to generous support from our sponsors, the NSF HDR Institute AI-Accelerated Algorithms for Data-Driven Discovery (A3D3) and Exploring Neural Network Processors for AI in Science and Engineering (Voyager), we are offering registration fee waivers (subject to funding availability) for graduate students on a first come first serve basis. If funds are still available, we will also open up fee waivers to undergraduate students and early-career researchers (<7 years since PhD) with financial need. Please indicate in the registration form if you are seeking a registration fee waiver and do not pay the fee.
We welcome abstracts for scientific talks, posters, tutorials, and topical (birds-of-a-feather) sessions. New for 2026: Submitters will also have the option to submit a 4-page extended abstract (paper) through OpenReview (details to follow). Topics for abstract submission include, but are not limited to:
- Machine Learning Algorithm Design & Optimization
- Accelerated Inference & Real-Time Processing
- Scientific Applications of Fast ML
- Scalable & Distributed ML Systems
- Advanced Hardware Design & Computing Architectures
Important Deadlines
- Abstract Submission: June 1, 2026
- (Optional) Extended Abstract Submission: June 15, 2026
- Early Bird Registration Deadline: July 15, 2026
For more details and updates on abstract submission, keynote speakers, and registration, please visit the conference website.