Systems for the Future of AI/ML (SysAI)

Call for Papers

Download PDF version of the Call For Papers

Important Dates

Manuscript Submission Due: 27th October 2024 (AoE)
Notification of Acceptance: 3rd December 2024
Camera-ready Submission: 10th December 2024
Workshop Date: 10th January 2025

The rapid evolution of Artiﬁcial Intelligence (AI) and Machine Learning (ML) has brought unprecedented opportunities and challenges. As organizations increasingly deploy AI/ML solutions at scale and the edge, there is a growing need for expertise in developing, optimizing, and managing these systems. The workshop aims to bring together professionals from academia and industry to discuss and explore the challenges, solutions, and advancements in building robust and eﬃcient systems that support real-world AI and ML solutions operating at scale and at the edge.

We invite researchers, practitioners, and experts in the ﬁelds of Computer Systems, Artiﬁcial Intelligence (AI) and Machine Learning (ML) to contribute to our upcoming workshop on "Systems for the Future of AI/ML." The workshop aims to bring together professionals from academia and industry to discuss and explore the challenges, solutions, and advancements in building robust and eﬃcient systems that support real-world AI and ML solutions operating at scale and at the edge.

Topics of interest

We encourage the submission of papers on a wide range of topics related to systems for AI and ML, particularly focusing on developments at scale and the edge. Relevant areas of interest include, but are not limited to:

Updating current systems to support ever-growing ML models
Scalable system architectures for the future of AI/ML
AI/ML for large-scale edge computing solutions
Distributed systems for distributed AI models of the future
Efficient deployment of AI models of the future
Real-time processing and inference at the edge
Resource-efficient algorithms for large-scale data
Optimization techniques for edge-based AI applications
System enhancements to bring AI to the edge
Case studies and practical experiences in deploying AI/ML at scale and the edge.
Hardware-aware AI modelling and deployments
Platform and AutoML for Edge AI operations
Generative AI on the edge
Technical Benchmarking and experiences from large-scale edge-based AI Solutions

Submission Guidelines

SysAI invites submission of original work not previously published or under review at another conference or journal.
Submissions (including title, author list, abstract, figures, tables, and references) must be no more than six pages long.
Reviews will be double-blind: Information about the authors will not be shared with the reviewers during the review process. The submitted paper should be anonymous and not have any reference to the authors' names and/or institutions.
Submissions must follow the formatting guidelines on the IEEE Website, and those that do not meet the size and formatting requirements will not be reviewed.
All papers must be in Adobe Portable Document Format (PDF) and submitted through the SysAI Workshop submission site on HOTCRP.
All workshop papers will appear in the conference proceedings and be submitted to IEEE Xplore and other Abstracting and Indexing (A&I) databases.

Papers can be submitted through HOTCRP: <TBA>.

For any queries please contact us at [email protected]

Technical Program Committee

Krishna Chaitanya, Qualcomm
Soumyajit Chatterjee, Nokia Bell Labs
Snigdha Das, Ericsson Research
Surjya Ghosh, BITS PIlani - Goa Campus
Ritesh Kalle, Hitachi Research, India
Meera Lakshmi, University of Technology Sydney
Guohao Lan, TU Delft
K P Naveen, IIT Tirupati
Basabdatta Palit, NIT Rourkela
Bharadwaj Satchidanandan, IIT Madras
Sougata Sen, BITS PIlani - Goa Campus
Dulanga Weerakoon, SMART Research Centre, Singapore
Poonam Yadav, University of York, UK