- Insights
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- Call for Paper
- AI-ML Systems 2024
AI-ML Systems 2024
Overview
What to Expect
- 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.
- Technological Advancements,
- Practical Applications,
- And more.
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