Call for Industry Papers
Solving practical, real-world problems in large-scale environments
The Industry Track solicits submissions describing AI-ML systems and solutions addressing practical, real-world problems in industry, broadly defined to include manufacturing, finance, government, and large-scale operational environments.
Industrial Systems Design
Focusing on the design and implementation of AI-ML–based systems that solve real industrial or societal problems.
Real-World Constraints
Solutions, optimizations, and lessons learned from deploying learning systems under practical constraints such as scale, latency, reliability, cost, safety, and regulation.
System Implementation
Describing how existing or previously published AI-ML methods can be adapted, engineered, and integrated into production-level systems.
System Impact
Demonstrations of significant and verifiable business, operational, or societal impact resulting from real deployments.
Dare to Try
Featuring AI-ML systems under development, ambitious real-world attempts, and well-documented negative results or failures that provide valuable insights.
Important Dates
Timeline To Be Decided
Dates will be announced soon.
Submission Guidelines
- Page Limit: 6 pages (main) + references.
- Format: Double-column ACM Format.
- Content: Must report real-world deployment or prototype results.