Call for Papers | AIMLSystems'24 | Louisiana State University
Raj Sharma
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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Submit your unpublished research on the intersection of AI/ML techniques and systems engineering specifically exploring how AI- ML techniques benefit from computational systems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
Systems for AI-ML
AI-ML for Systems
AI-ML for Socio-Economic System Design
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:
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.
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
Aug 5, 2024 - Paper submission deadline in Demo Track
Aug 24, 2024 - Acceptance notification in Gen AI Workshop
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)
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
Alessandro Falceta (Politechnico di Milano, Italy)
Arghya Kusum Das (University of Alaska)
Shantanu Pal (Deakin University, Australia)
IT Co-Chair
Raj Sharma (Walmart Global Tech, India)
Panel Co-Chair
Rekha Singhal (TCS, USA)
Tutorial Co-Chair
Sandipan Dandapat (Microsoft, India)
Steering Committee Co-Chairs
Anurag Kumar (IISc Bangalore, India)
Giridhar Mandyam (Mediatek, USA)
G Venkatesh (IIT Madras, India)
Huzur Saran (IIT Delhi, India)
Rajeev Shorey (IIT Delhi, India)
Uday Desai (IIT Hyderabad, India)