Connectionists: Deadline Extended: The 2nd International Conference on AI-ML-Systems (AIMLSystems'22)

Mon Jul 4 12:09:50 EDT 2022

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*AIMLSystems 2022*
The 2nd International Conference on AI-ML-Systems
(An Initiative of the COMSNETS Association)
12 - 15 October 2022
Bangalore, India

https://www.aimlsystems.org/2022/
https://cmt3.research.microsoft.com/AIMLSystems2022/

In-Cooperation With: ACM, ACM SIGKDD, ACM SIGMOD, ACM SIGAI
==============================================================

*ANNOUNCEMENT: Paper submission deadline is extended to July 12, 2022,
11:59 pm AET*

AIMLSystems is a new conference targeting research at the intersection of
AI/ML techniques and systems engineering. Through this conference we plan
to bring out and highlight the natural connections between these two fields
and their application to socio-economic systems. Specifically we explore
how immense strides in AI/ML techniques are made possible through
computational systems research (e.g., improvements in CPU/GPU
architectures, data-intensive infrastructure, and communications ), how the
use of AI/ML can help in the continuous and workload-driven design space
exploration of computational systems (e.g., self-tuning databases, learning
compiler optimisers, and learnable network systems ), and the use of AI/ML
in the design of socio-economic systems such as public healthcare, and
security. The goal is to bring together these diverse communities and
elicit connections between them.

Contributions are invited under Research, Industry & Applications, and
Demonstration Tracks of the conference. Authors are encouraged to submit
previously unpublished research at the intersection of computational /
socio-economic systems and AI/ML.

*------------------------Topics of Interest------------------------*

The areas of interest are broadly categorized into the following three
streams:

** Systems for AI/ML, including but not limited to:*

   - CPU/GPU architectures for AI/ML
   - Specialized/Embedded hardware for AI/ML workloads
   - Data intensive systems for efficient and distributed training
   - Challenges in production deployment of ML systems
   - ML programming models, languages, and abstractions,
   - ML compilers and runtime
   - Efficient systems for data preparation and processing
   - Systems for visualization of data, models, and predictions
   - Testing, debugging, and monitoring of ML applications
   - Cloud-computing for machine and deep learning
   - Machine and deep learning “as-a-service”
   - Efficient model training, optimization and inference
   - Hardware efficient ML methods
   - Resource-constrained ML
   - Tiny Machine Learning
   - Embedded and Edge Artificial Intelligence
   - Distributed and parallel learning algorithms
   - MLOps (data collection, monitoring and re-training)

** AI/ML for Systems, including but not limited to:*

   - AI/ML for VLSI and architecture design
   - AI/ML in compiler optimization
   - AI/ML in data management - including database optimizations,
   virtualization, etc.
   - AI/ML for networks - design of networks, load modeling, etc.
   - AI/ML for power management - green computing, power models, etc.
   - AI/ML for Cloud Computing
   - AI/ML for IOT networks

** AI/ML for Socio-Economic Systems Design, which includes, but not limited
to:*

   - Computational design and analysis of socio-economic systems
   - Fair and bias-free systems for social welfare, business platforms
   - Applications of AI/ML in the design, short-/long-term analysis of
   cyber-physical systems
   - Mechanism design for socio-economic systems
   - Fairness, interpretability and explainability for ML applications
   - Privacy and security in AI/ML systems
   - Sustainability in AI/ML systems
   - Ethics in AI/ML systems
   - Applications of AI/ML in financial systems

--------------
*Key Dates*
--------------

*Paper submissions due: July 12, 2022 (Firm Deadline)*
Author notifications: August 30, 2022
Camera ready deadline: September 12, 2022
Conference dates: October 12-15, 2022

*---------Venue---------*

The Chancery Pavilion, Residency Road, Bangalore, India | Hybrid Conference

*----------------------------Submission
Instruction----------------------------*

Research papers must not exceed 8 pages, excluding appendix,
acknowledgments and bibliography. Only electronic submissions in PDF format
using the ACM sigconf template (see
https://www.acm.org/publications/proceedings-template) will be considered.

Papers can be submitted under any of the three main topics listed above.
Authors are required to make a primary topic selection, with optional
secondary topics for each paper. Number of papers accepted under each topic
is not capped. We will accept all papers that meet the high quality and
innovation levels required by the AIMLSystems conference. All papers that
are accepted will appear in the proceedings.

All accepted papers will be presented as posters at AIMLSystems 2022, but a
select subset of them will be given a “conventional” (oral) presentation
slot during the conference. However, all accepted papers will be treated
equally in the conference proceedings, which are the persistent, archival
record of the conference.

*----------------------------------Dual Submission
Policy----------------------------------*

A paper submitted to AIMLSystems can not be under review at any other
conference or journal during the entire time it is considered for review at
AIMLSystems, and it must be substantially different from any previously
published work or any work under review. After submission and during the
review period, submissions to AIMLSystems must not be submitted to other
conferences/journals for consideration. However, authors may publish at
non-archival venues, such as workshops without proceedings, or as technical
reports (including arXiv).

*---------Ethics---------*

Plagiarism Policy: Submission of papers to AIMLSystems 2022 carries with it
the implied agreement that the paper represents original work. We will
follow the ACM Policy on Plagiarism, Misrepresentation, and Falsification –
see https://www.acm.org/publications/policies/plagiarism-overview. All
submitted papers will be subjected to a “similarity test”. Papers achieving
a high similarity score will be examined and those that are deemed
unacceptable will be rejected without a formal review. We also expect to
report such unacceptable submissions to the superiors of each of the
authors.

Submission of papers to AIMLSystems 2022 also carries with it the implied
agreement that one or more of the listed authors will register for and
attend the conference and present the paper. Papers not presented at the
conference will not be included in the final program or in the digital
proceedings. Therefore, authors are strongly encouraged to plan accordingly
before deciding to submit a paper.

*------------------------------------------*
*Keynote Speakers*
*------------------------------------------*

   - Carlos Guestrin, Stanford University, USA
   - Thorsten Joachims, Cornell University, USA
   - Sunita Sarawagi, IIT Bombay, India
   - Partha Pratim Talukdar, IISc Bangalore & Google Research, India
   - Cynthia Rudin, Duke University, USA
   - Max Welling, University of Amsterdam and Microsoft Research,
   Netherlands

*----------------------------------------------------------*
*Conference Chairs & Contact Information*
*---------------------------------------------------------*

General Chairs:

   - Ralf Herbrich (Hasso Plattner Institute, Germany)
   - Rajeev Rastogi (Amazon, India)
   - Dan Roth (University of Pennsylvania, USA)

TPC Chairs:

   - Sumohana Channappayya (IIT Hyderabad, India)
   - Srujana Merugu (Amazon, India)
   - Manuel Roveri (Politecnico di Milano, Italy)

For general inquiries: aimlsys.conference at gmail.com
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