Call For Papers
The topics of interest for submission include, but are not limited to:
I. Artificial Intelligence & Machine Learning
(Foundational Theories)
Machine Learning Fundamentals and Algorithms
Deep Learning and Neural Networks
Reinforcement Learning and Adaptive Systems
Transfer Learning and Meta-Learning
Federated Learning and Distributed Machine Learning
Generative Adversarial Networks and Generative Models
Probability Theory and Stochastic Processes
Numerical Computation and Optimization Methods
Information Theory and Coding Theory
Operations Research and Combinatorial Optimization
(Perception & Cognition)
Computer Vision and Image Understanding
Natural Language Processing and Speech Recognition
Knowledge Graphs and Semantic Understanding
Multimodal Learning and Cross-modal Analysis
Pattern Recognition and Intelligent Perception
Cognitive Computing and Affective Computing
Text Mining and Semantic Analysis
Spatial Data Analysis and Geocomputation
Bioinformatics and Computational Biology
Computational Geometry and Topological Analysis
(Application Systems)
Recommender Systems and Personalization
Anomaly Detection and Fault Diagnosis
Intelligent Decision-making and Optimal Control
Robotic Learning and Autonomous Systems
Autonomous Driving and Intelligent Transportation
Biomedical Artificial Intelligence
Financial Intelligence and Quantitative Analysis
Industrial Intelligence and Smart Manufacturing
Industrial Big Data Applications
Secure Computing and Privacy Preservation
◕ II. Intelligent Computing & Systems
(Computing Architectures)
Cloud Computing and Edge Computing
Distributed and High-Performance Computing
Quantum Computing and Quantum Machine Learning
Neuromorphic Computing and Brain-inspired Intelligence
Processing-in-Memory and Near-Data Processing
Photonics Computing and Novel Computing Paradigms
AI Chips and Hardware Acceleration
Next-generation Storage Architectures and Systems
High-performance Networking and Communications
Green Computing and Energy Efficiency Optimization
(Emerging Paradigms)
Digital Twins and Virtual Simulation
Metaverse and Immersive Computing
Blockchain and Trusted Computing
IoT and Intelligent Sensing
Embedded and Mobile Computing
Matrix Computation and Tensor Analysis
Differential Equations and Dynamical Systems
Big Data Analytics and Mining
Data Visualization and Interaction
Time-series Analysis and Predictive Modeling
III. Data Science & Applications
(Data Processing)
Graph Data and Network Analysis
Unstructured Data Processing
Data Governance and Quality Management
Data Security and Privacy Protection
Computational Modeling and Simulation
Intelligent Computing Application Cases
Financial Mathematics and Risk Management
Biomedical Data Analysis
Environmental Big Data Analysis
Social Network Analysis
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2026 3rd International Conference on Machine learning and intelligent computing(MLIC 2026) http://www.icmlic.org/