Call For Papers
Topics
The primary focus of the conference is on new and original research results in the areas of theoretical findings, design, implementation, and applications. Both theoretical paper and simulation (experimental) results are welcome. Topics of interest include, but are not limited to the following.
Intelligent Computing and Learning
▸ Deep Learning Architectures
▸ Self-Supervised Learning
▸ Large Model Systems
▸ Federated Learning
▸ Trustworthy AI
▸ MLOps
Optimization and Decision Intelligence
▸ Metaheuristic Search
▸ Reinforcement Learning
▸ Multi-Objective Optimization
▸ Intelligent Scheduling
▸ Predictive Maintenance
▸ Decision Support Systems
Automation and Robotics
▸ Robot Perception
▸ Autonomous Navigation
▸ Robot Learning
▸ Human-Robot Collaboration
▸ Multi-Robot Systems
▸ Embodied Intelligence
World Models
▸ Multimodal World Models
▸ Next-State Prediction
▸ Causal Modeling
▸ Synthetic Data
▸ Physical AI
▸ Simulation Environments
AI Agents
▸ Tool Calling
▸ Multi-Agent Systems
▸ Agent Reliability
▸ Agent Memory
▸ Data Science Agents
▸ Autonomous Agents
Computing Infrastructure
▸ Vector Databases
▸ Edge Intelligence
▸ Cloud-Edge Systems
▸ AI Accelerators
▸ In-Memory Computing
▸ Green Computing