[hpc-announce] AI4S Workshop at SCA/HPCAsia 2026

[Murali Emani]

[AI4S]:  Workshop on Artificial Intelligence and Machine Learning for
Scientific Applications

To be held in conjunction with SCA/HPCAsia 2026
Monday, January 26, 2026
Osaka, Japan

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Overview
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The purpose of this workshop is to bring together computer scientists
and domain scientists from academia, government, and industry to share
recent advances in the use of AI/ML in various scientific
applications, introduce new scientific application problems to the
broader community, and stimulate tools and infrastructures not only to
support the application of AI/ML in scientific applications but also
effectively utilize existing and future HPC systems for AI/ML-based
scientific applications The workshop will be organized as a series of
plenary talks based on peer-reviewed paper submissions accompanied by
keynotes from distinguished researchers in the area and a panel
discussion. We encourage participation and submissions from
universities, industry, HPC centers and National Laboratories.

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Call for Papers
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We solicit research papers in the following topic areas, but not be limited to

- Advancing scientific discovery and development workflows through
generative AI models;
- Strategies for reducing the energy consumption of AI model training
and inference;
- Investigating the impact of quantization and reduced precision
techniques on the accuracy and correctness of AI-driven scientific
applications;
- Novel AI/ML approaches for improving execution time, efficiency, and
simulation accuracy;
- Characterizing the impact, accuracy, and effectiveness of AI/ML for
scientific workloads;
- Leveraging HPC systems to accelerate training and inference of AI/ML
models on large-scale scientific datasets;
- Addressing scalability, optimization, and efficiency issues when
deploying AI/ML on extreme-scale HPC platforms;
- Methods for integrating domain knowledge, including physical laws
and constraints, into AI-driven scientific modeling;
- Replacing or augmenting traditional numerical methods with AI/ML
models for computational efficiency;
- Tools, frameworks, and infrastructure to enhance the usability and
accessibility of AI in scientific applications;
- Methods to improve interpretability, explainability, and robustness
of AI models for critical scientific applications;
- Performance evaluation and benchmarking of emerging AI accelerators
(e.g., GPUs, TPUs, FPGAs, neuromorphic computing) for scientific
workloads;

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Submissions
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Authors are invited to submit original technical papers of at most 18
pages for full papers and at most 10 pages for short papers in PDF
format, in one-column format.
The page limit includes all figures and references.
The papers should be formatted according to the ACM Proceedings Style
listed in the SCA/HPC Asia 2026 website
(https://urldefense.us/v3/__https://www.sca-hpcasia2026.jp/submit/papers.html__;!!G_uCfscf7eWS!YbMwy6mN_gGYy8IHALrurd5HeuWmUd2eTn-ydDTvAwa690oPvLOo1QCojPmwnynZaqCLjonXb07btTpHkx9QSWlPwQ$ ).
For more details, please refer to
(https://urldefense.us/v3/__https://www.acm.org/publications/authors/submissions__;!!G_uCfscf7eWS!YbMwy6mN_gGYy8IHALrurd5HeuWmUd2eTn-ydDTvAwa690oPvLOo1QCojPmwnynZaqCLjonXb07btTpHkx_5kJ_npw$ ).

All manuscripts will be peer-reviewed and judged on correctness,
originality, technical strength, and significance, quality of
presentation, and interest and relevance to the workshop attendees.
Submitted papers must represent original unpublished research that is
not currently under review for any other conference or journal.
Submissions received after the due date, exceeding length limit, or
not appropriately structured may also not
be considered. At least one author of an accepted paper must register
for and attend the workshop. Authors may contact the workshop
organizers for more information.

Papers should be submitted electronically at:
https://urldefense.us/v3/__https://easychair.org/conferences?conf=ai4ssca26__;!!G_uCfscf7eWS!YbMwy6mN_gGYy8IHALrurd5HeuWmUd2eTn-ydDTvAwa690oPvLOo1QCojPmwnynZaqCLjonXb07btTpHkx9rkHBYYg$ .

The final papers will be published in the ACM Proceedings.


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Important Dates:
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Submission: October 27, 2025 (AoE)
Notification of acceptance: November 26, 2025
Camera Ready: December 15, 2025
Workshop: January 26, 2026

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Organizers
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Gokcen Kestor, Pacific Northwest National Laboratory
Dong Li, University of California, Merced
Murali Krishna Emani, Argonne National Laboratory

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Program Committee
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TBA