AI-ML Systems 2024

Join the fourth edition of AIMLSystems targeting the research in the intersection of Systems Engineering and Artificial Intelligence and Machine Learning techniques.

Overview

Artificial Intelligence (AI) and Machine Learning (ML) in Systems Engineering is the premier conference that explores this intersection in 2024. This conference, which is set for its fourth edition, intends to present state-of-the-art studies and applications that use AI/ML methods to improve socioeconomic systems around the world.

What to Expect

At AI-ML Systems 2024, participants can expect a dynamic program that delves into critical areas shaping the future of AI and ML integration with systems engineering:

Technological Advancements: Explore how advancements in CPU/GPU architectures, data-intensive infrastructure, and communication technologies enable breakthroughs in AI/ML applications.
Practical Applications: Learn about AI/ML’s role in continuous design space exploration of computational systems, including self-tuning databases, learning compiler optimizers, and scalable network systems.
Socio-Economic Impact: Understand how AI/ML is transforming the design and operation of socio-economic systems such as public healthcare, security frameworks, and environmental sustainability.
Specialized Tracks: Engage with domain-specific tracks covering AI/ML applications in healthcare, finance, energy, transportation, education, and more, highlighting their transformative potential.
Research Insights: Gain insights from original research, case studies, and innovative applications presented as posters and selected oral presentations, fostering collaboration and knowledge exchange among attendees.
Ethical Considerations: Talk about the moral implications of AI/ML systems such as sustainability fairness transparency and interpretability as these are essential for their responsible application in a variety of contexts.
Networking Opportunities: Connect with leading researchers, practitioners, and industry experts to forge collaborations and partnerships that drive future innovations in AI/ML systems.

AI-ML Systems 2024 invites researchers, academics, and industry professionals to submit their latest findings and perspectives, contributing to a vibrant discourse on the evolving landscape of AI and ML in systems engineering. Don’t miss the opportunity to be part of this transformative event shaping the future of technology and socio-economic systems.

Call for Papers Researchers are invited to submit original papers particularly in areas like

Technological Advancements,
Practical Applications,
And more.

Submission Details And Deadlines here

Topics of Interest Papers are invited in the following streams (including but not limited to):

Systems for AI/ML

CPU/GPU architectures for AI/ML
Specialized/Embedded hardware for AI/ML workloads
Data intensive systems for efficient and distributed training
AI/ML programming models, languages, and abstractions
AI/ML compilers and runtime
Cloud-computing for machine and deep learning
Machine and deep learning “as-a-service”
Embedded and Edge AI
Federated, distributed and parallel learning algorithms
MLOps (data collection, monitoring and re-training)

AI/ML for Systems

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 HPC
AI/ML for Socio-Economic Systems Design

Domain-Specific AI/ML

AI for Healthcare
AI for Resource Allocation, Econometrics, and Finance
AI for Energy
AI for Transportation and Built Environment
AI for Climate Change & Sustainability
AI for Education
AI for Art, Music, and Sound

Style and Author Instructions Research papers must not exceed 8 pages, excluding appendix, acknowledgment, and bibliography. Authors are required to submit electronically in PDF format using the ACM sigconf template (download) for LaTeX users or the official Interim Template provided by ACM for Microsoft Word users. Submissions should be made via the conference’s submission system (Submission Link). Each paper must select a primary topic with optional secondary topics. All accepted papers will be presented as posters, with selected papers also receiving oral presentation slots.

Ethics

All submissions must adhere to ACM’s Policy on Plagiarism, Misrepresentation, and Falsification.
Authors of accepted papers must register for the conference, attend in person, and present their work. Papers not presented will not be included in the final program or proceedings.

Conflicts of Interest Authors must declare any conflicts of interest with program committee members during submission. COI includes past collaborations, co-authorships, or personal relationships as specified on the submission site.

Review Process

Double-blind review: To maintain an unbiased evaluation authors should make sure their submissions are anonymous. Double columns are the recommended format for papers in order to maximize readability.

Papers submitted for dual submission to AI-ML Systems 2024 cannot be under review elsewhere at the time of submission. Submissions must be significantly different from any previously published or under review work elsewhere.

Conference Format: This is going to be an in-person conference. Each accepted paper must have at least one author present their work in person at the event.

Submit Your Work: Submit your papers with the help of our experts!

Join us at AI-ML Systems 2024 to explore the latest advancements and applications of AI/ML in systems engineering and socio-economic domains. Submit your papers now and be part of this vibrant discussion!

Important Dates:

Abstract deadline: July 10, 2024, 11:59 pm AoE
Paper submissions due: July 22, 2024, 11:59 pm AoE

Don’t miss this opportunity to be at the forefront of AI & ML. Register now to secure your place at AI-ML Systems 2024!