Workshop on Artificial Intelligence and Machine Learning for Scientific Applications at SC’22

[AI4S]: The 3rd Workshop on Artificial Intelligence and Machine Learning for Scientific Applications
To be held in conjunction with SC22
Monday, 14 November 2022, 1:30pm – 5pm CST
Kay Bailey Hutchison Convention Center, Dallas, TX, 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 to 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 successful 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 a number of 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 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 completely or partially replace first-order computation with efficient AI/ML models;
• Tools and infrastructure to improve the usability of AI/ML to 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, letter size (8.5in x 11in) and including figures, tables, and references. Submissions not conforming to these guidelines may be returned without review. Your paper should be formatted using IEEE conference format which can be found from https://www.ieee.org/conferences/publishing/templates.html.

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, SC22 Workshop: AI4S’22: Workshop on Artificial Intelligence and Machine Learning for Scientific Applications”.

The final papers are planned to be published through IEEE. Published proceedings will be included in the IEEE Xplore digital library.

Important Dates:

Submission Deadline: August 2, 2022 (AoE)
Notification of acceptance: September 8, 2022
Camera Ready: September 23, 2022
Workshop: November 14, 2022

Organizers

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

Program Committee

Debbie Bard, Lawrence Berkeley National Laboratory
Kevin Barker, Pacific Northwest National Laboratory
Aparna Chandramowlishwaran, University of California, Irvine
Wenqian Dong, University of California, Merced
Yao Fehlis, AMD Research
Olexandr Isayev, Carnegie Mellon University
Jiawen Liu, Facebook
Brian C Van Essen, Lawrence Livermore National Laboratory
Natalia Vassilieva, Cerebras
Venkatram Vishwanath, Argonne National Laboratory
Laurent White, AMD Research