[hpc-announce] CFP: [AI4S]: The 4th Workshop on Artificial Intelligence and Machine Learning for Scientific Applications

[Murali Emani]

Please note the extended submission deadline to August 18, 2023.

> ==========================================================
> [AI4S]: The 4th Workshop on Artificial Intelligence and Machine
> Learning for Scientific Applications
>
> To be held in conjunction with SC23
> Monday, 13 November 2023, 8:30 am - 5 pm MST
> Denver, CO, USA
>
> Website: https://ai4s.github.io/
> ==========================================================
>
> --------------
> Overview
> --------------
> 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 to support the application of AI/ML in 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, and DOE National
> Laboratories.
>
> Artificial intelligence (AI)/machine learning (ML) is a game-changing
> technology that has shown tremendous advantages and improvements in
> algorithms, implementation, and applications. We have seen many success
> stories of applying AI/ML to scientific applications, such as predicting
> extreme weather events, identifying exoplanets in trillions of sky pixels,
> and accelerating numerical solvers in fluid simulation. However, there are
> several problems remaining to be studied to enhance the usability of
> AI/ML to scientific applications. For example, how to systematically and
> automatically apply AI/ML to scientific applications? How to incorporate
> domain knowledge (e.g., conservation laws, invariants, causality, and
> symmetries) into AI/ML models? How to make the models interpretable and
> robust for HPC? How to make AI/ML more approachable to the HPC community?
> Addressing the above problems will bridge the gap between AI/ML and
> scientific applications and enable wider employment of AI/ML in HPC.
>
> ---------------------
> Call for Papers
> ---------------------
> We solicit research papers in the following topic areas, but not be limited
> to:
> - Innovative AI/ML models to analyze, accelerate, or improve the performance of
> scientific applications in terms of execution time and simulation accuracy;
> - Innovative methods to incorporate complex constraints imposed by physical
> principles to scientific applications;
> - Innovative methods to entirely or partially replace first-order
> computation with efficient AI/ML models;
> - Tools and infrastructure to improve the usability of AI/ML in scientific
> applications;
> - Performance characterization and study on the possibility of using AI/ML
> to specific scientific applications;
> - Workflow of applying AI/ML to scientific applications;
> - Innovative methods to make AI models interpretable and robust for
> scientific applications.
>
> ------------------
> Submissions
> -----------------
> Authors are invited to submit manuscripts in English structured as technical papers up to 6 pages 2-column pages (U.S. letter – 8.5″x11″), excluding the bibliography, using the ACM proceedings template that is available at here. Latex users, please use the “sigconf” option (use of the “review” option is recommended but not required). Word authors can use the “Interim Layout”. Submissions not conforming to these guidelines may be returned without review.
>
> 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. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. 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://submissions.supercomputing.org, SC23 Workshop: AI4S'23: Workshop on Artificial Intelligence and Machine Learning for Scientific Applications".
>
> The final papers will be published in the SC Workshops Proceedings.
> -----------------------
> Important Dates:
> -----------------------
> Submission Deadline (Extended): August 18, 2023 (AoE)
> Notification of acceptance: September 15, 2023
> Camera Ready: September 29, 2023
> Workshop: November 13, 2023
>
> --------------
> Organizers
> --------------
> Gokcen Kestor, Pacific Northwest National Laboratory
> Dong Li, University of California, Merced
> Murali Krishna Emani, Argonne National Laboratory
>
> ----------------------------
> Program Committee
> ---------------------------
> Deborah Bard, Lawrence Berkeley National Lab
> Kevin J. Barker, Pacific Northwest National Laboratory
> Wesley Brewer, Oak Ridge National Laboratory
> Aparna Chandramowlishwaran, University of California, Irvine
> Wenqian Dong, Florida International University
> Yao Fehlis, AMD Research
> Ali Jannesari, Iowa State University
> Bethany Lusch, Argonne National Laboratory
> Kento Sato, RIKEN
> Dingwen Tao, Indiana University
> Brian C. Van Essen, Lawrence Livermore National Laboratory
> Venkatram Vishwanath, Argonne National Laboratory
> Feiyi Wang, Oak Ridge National Laboratory
> Laurent White, AMD
>
> Best Regards,
> Murali