Fast Machine Learning for Science Conference 2025

1 Sept 2025, 09:00 → 5 Sept 2025, 17:30 Europe/London

TBD (ETH Zurich)

Marius Köppel (ETH Zurich (CH)), Thea Aarrestad (ETH Zurich (CH))

 

 

 The Fast Machine Learning for Science Conference 2025 will be hosted by ETH Zurich September 1-5th, 2025.

As experimental methods continue to evolve, generating increasingly complex and high-resolution datasets, machine learning (ML) is becoming an essential tool across numerous scientific disciplines. This conference will explore emerging ML methods and their applications in scientific discovery, focusing on processing technologies and strategies to accelerate deep learning and inference.

Topics

Topics include, but are not limited to:

Machine Learning Algorithm Design & Optimization

• Novel efficient architectures
• Hyperparameter optimization and tuning
• Model compression (quantization, sparsity)
• Hardware/software co-design for ML efficiency

Accelerated Inference & Real-Time Processing

• Low-latency ML for scientific experiments
• FPGA/GPU-based ML acceleration
• ML for trigger systems and data acquisition
• On-detector and edge inference

Scalable & Distributed ML Systems

• Cloud-based, accelerated ML processing
• Distributed inference
• Acceleration-as-a-service

Advanced Hardware & Computing Architectures

• Specialized AI accelerators
• Heterogeneous computing platforms for ML
• Beyond CMOS

Scientific Applications of Fast ML

• High-energy physics, astrophysics and astronomy
• Space science and satellite-based ML
• Genomics and medical imaging
• Climate and environmental modeling
• Material Science
• Robotics

Important Deadlines

• Abstract Submission: July 1, 2025
• Registration Deadline: August 1, 2025

 

We welcome abstracts for:

• Scientific talks
• Posters
• 2-4 hour Monday tutorials
• 2-3 hour Wednesday topical (birds-of-a-feather) sessions

More information and registration details will follow. We look forward to welcoming you in Zurich this September!

Best regards,
On behalf of the Organizers

Scientific Committee

• Thea K. Årrestad (ETH Zürich)
• Javier Duarte (UCSD)
• Phil Harris (MIT)
• Burt Holzman (Fermilab)
• Scott Hauck (U. Washington)
• Shih-Chieh Hsu (U. Washington)
• Sergo Jindariani (Fermilab)
• Mia Liu (Purdue University)
• Allison M. Deiana (Southern M. U.)
• Mark Neubauer (U. Illinois U-C)
• Jennifer Ngadiuba (Fermilab)
• Maurizio Pierini (CERN)
• Sioni Summers (CERN)
• Alex Tapper (Imperial College)
• Nhan Tran (Fermilab)

Organising Committee

• Thea K. Årrestad (ETH Zürich) - Chair
• Marius Köppel (ETH Zürich) - Co-Chair
• Cristina Botta (CERN/UZH)
• Annapaola De Cosa (ETH)
• Patrick Odagiu (ETH Zürich)
• Maurizio Pierini (CERN)
• Benjamin Ramhorst (ETH Zürich)
• Anna Sfyrla (UniGe)
• Sioni Summers (CERN)
• Jennifer Zollinger (ETH Zürich)

 

Monday 1 September

10:00 → 10:30 Registration

10:30 → 13:30 Tutorials

10:30 Tutorial 1

10:30 Tutorial 2

10:30 Tutorial 5

12:00 Tutorial 3

12:00 Tutorial 4

12:00 Tutorial 6

13:30 → 14:30 Lunch

14:30 → 15:00 Registration

15:00 → 16:30 Invited talks

15:00 Welcome

15:10 Invited talk 1

15:50 Invited talk 2

16:30 → 17:00 Coffee

17:00 → 18:30 Invited talks

17:00 Invited talk 4

17:40 Invited talk 5

19:00 → 23:00 Social: Reception

Tuesday 2 September

10:00 → 11:30 Invited talks

11:30 → 12:00 Coffee

12:00 → 13:30 Invited talks

13:30 → 14:30 Lunch

14:30 → 16:00 Contributed talks

16:00 → 17:00 Posters and coffee

17:00 → 18:30 Contributed talks

Wednesday 3 September

10:00 → 11:30 Invited talks

11:30 → 12:00 Coffee

12:00 → 13:30 Invited talks

13:30 → 14:30 Lunch

14:30 → 16:00 Contributed talks

16:00 → 17:00 Posters and coffee

17:00 → 18:30 Contributed talks

19:00 → 01:00 Social: Conference Dinner

Thursday 4 September

11:30 → 13:00 Invited talks

13:00 → 14:00 Lunch

14:00 → 15:30 Contributed talks

15:30 → 16:30 Posters and coffee

16:30 → 17:30 Birds-of-a-Feather

Friday 5 September

10:00 → 10:40 Invited talks

10:40 → 11:30 Contributed talks

11:30 → 12:00 Coffee

12:00 → 13:00 Invited talks: Summary talk and poster prizes

13:00 → 15:00 Fast ML foundation discussion