[hpc-announce] CFP: [AI4S] [Deadline Extension] The 3rd Workshop on Artificial Intelligence and Machine Learning for Scientific Applications at SC'22

[Murali Emani]

The submission deadline is now extended to August 8, 2022.
========================================================================
[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, references and formatted to be
single-blinded. 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 8, 2022 (AoE) [Extended]
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


Best Regards,
Murali