Connectionists: Call for Papers | AIMLSystems'24 | Louisiana State University

Fri May 17 08:53:32 EDT 2024

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AI-ML Systems 2024
4rd International Conference on AI-ML Systems
October 8-11, 2024  |  Louisiana State University  |  Baton Rouge, USA

https://www.aimlsystems.org/2024/

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AI-ML Systems 2024 is the 4th edition of the AI-ML Systems conference
targeting research at the intersection of Artificial Intelligence (AI) and
Machine Learning (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.

CALL FOR PAPERS

Submit your unpublished research on the intersection of AI/ML techniques
and systems engineering specifically exploring how AI- ML techniques
benefit from computational systems research and how they can aid in the
design of computational and socio-economic systems.

RESEARCH TRACK

The research track invites papers describing innovative and original
research contributions under any of the four main topics listed below

   1.

   Systems for AI-ML
   2.

   AI-ML for Systems
   3.

   AI-ML for Socio-Economic System Design
   4.

   Domain-Specific AI-ML

Papers must not exceed 8 pages, excluding appendix, acknowledgement and
bibliography.  Authors are required to make a primary topic selection, with
optional secondary topics for each paper.  Number of accepted papers under
each topic is not capped.  For further details on submission submission
guidelines, visit: https://www.aimlsystems.org/2024/callresearch/

INDUSTRY TRACK

The industry track solicits submission of papers that

   -

   Describe designs and implementation of solutions and systems for
   practical tasks at the intersection of AI-ML and computer systems.
   -

   Solve or advance the understanding of issues related to deploying
   learning systems in the real world.
   -

   Establish new connections among these diverse fields, and identify
   tools, best practices and design principles.
   -

   Demonstrate significant, verifiable business and/or real-world impact as
   a result of such deployments.

Regular industry paper must not exceed 6 pages including bibliography.  We
also welcome short papers, not exceeding 4 pages including bibliography,
which will be presented as posters.  All accepted papers (regular and
short) will appear in the proceedings.  For further details on submission
guidelines, visit: https://www.aimlsystems.org/2024/callindustry/

DEMO TRACK

The demo track at AIMLSystems provides an excellent opportunity for
researchers, practitioners, and industry professionals to showcase their
latest innovations, prototypes, tools and systems in the areas of interest
to the conference. We invite the authors to submit their original work(s)
in the following two categories:

   1.

   Research Demos: The authors are requested to submit an extended abstract
   no longer than three pages including all figures and references, describing
   the demo and any special requirements. The formatting must adhere to the
   Main Conference Guidelines. Submissions not adhering to the conference
   template will be rejected without review. Submissions must be in PDF format.
   2.

   Product & Startup Demos: The authors are requested to submit a proposal
   no longer than three pages that outline the motivation, technologies, and
   use cases that will be demoed.

For further details on submission guidelines, visit:
https://www.aimlsystems.org/2024/demos/

GENERATIVE AI WORKSHOP

The workshop on Generative AI at AIMLSystems will focus on the entire
life-cycle of building and deploying such Generative AI systems, including
data collection and processing, developing systems and requisite
infrastructure, applications it enables, and the ethics associated with
such technology covering concerns related to fairness, transparency and
accountability. We invite original, unpublished work on Artificial
Intelligence with a focus on generative AI and their use cases. For further
details on topics of interest and submission guidelines, visit:
https://www.aimlsystems.org/2024/workshop-genai/

IMPORTANT DATES

   -

   Jun 7, 2024 - Paper submission deadline in Research and Industry Tracks
   -

   Jun 15, 2024 - Paper submission deadline in GenAI Workshop
   -

   Jul 31, 2024 - Acceptance notification in Research and Industry Tracks
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   Aug 5, 2024 - Paper submission deadline in Demo Track
   -

   Aug 24, 2024 - Acceptance notification in Gen AI Workshop
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   Aug 26, 2024 - Acceptance notification in Demo Track

ORGANISING COMMITTEE

General Co-chairs

   -

   Manuel Roveri (Politecnico di Milano, Italy)
   -

   Rahul Ghosh (Walmart Global Tech, India)
   -

   Supratik Mukhopadhyay (Louisiana State University, USA)

Technical Program Committee Co-Chairs

   -

   Davide Bacciu (Università di Pisa, Italy)
   -

   Manish Gupta (Microsoft, India)
   -

   Rashmi Gangadharaiah (Amazon, USA)

Research Track Co-Chairs

   -

   Brandon Oubre (Harvard, USA)
   -

   Lori Landay (Berklee College, USA)
   -

   Paulo Lisboa (John Moores University, UK)
   -

   Rahmani Hossein (Lancaster University, UK)
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   Shailesh Deshpande (Tata Research, India)
   -

   Yimin Zhu (Louisiana State University, USA)
   -

   Z. George Xue (Louisiana State University)

Industry Track Co-Chairs

   -

   Anupam Purwar (Amazon, India)
   -

   Veena Mendiratta (Northwestern University, USA)
   -

   Valeria Tomaselli (ST Microelectronics)

Demos & Exhibits Co-Chairs

   -

   Fan Yang (Amazon, USA)
   -

   Tridib Mukherjee (Games24x7, India)

Web Co-Chairs

   -

   John Paul Breaux (Louisiana State University, USA)
   -

   Shivani Singh (IIIT Bangalore, India)
   -

   Vivek Yadav (IIIT Bangalore, India)

Workshop Co-Chairs

   -

   Anupam Purwar (Amazon, India)
   -

   Hiteshi Sharma (Microsoft Research, USA)
   -

   Sierra Simpson (UC San Diego, USA)

Publications Chair

   -

   Subrato De (Qualcomm, USA)

Publicity Co-Chairs

   -

   Massimo Pavan (Politecnico di Milano, Italy)
   -

   Subhajit Sidhanta (IIT Bhilai, India)
   -

   Yanyu Wang (Louisiana State University, USA)

Social Media Co-Chairs

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   Alessandro Falceta (Politechnico di Milano, Italy)
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   Arghya Kusum Das (University of Alaska)
   -

   Shantanu Pal (Deakin University, Australia)

IT Co-Chair

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   Raj Sharma (Walmart Global Tech, India)

Panel Co-Chair

   -

   Rekha Singhal (TCS, USA)

Tutorial Co-Chair

   -

   Sandipan Dandapat (Microsoft, India)

Steering Committee Co-Chairs

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   Anurag Kumar (IISc Bangalore, India)
   -

   Giridhar Mandyam (Mediatek, USA)
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   G Venkatesh (IIT Madras, India)
   -

   Huzur Saran (IIT Delhi, India)
   -

   Rajeev Shorey (IIT Delhi, India)
   -

   Uday Desai (IIT Hyderabad, India)
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