AFMAML 2027 welcomes relevant paper submissions from researchers in academia, industry, and government, such as students, engineers, practitioners, scientists, and policy makers. We welcome paper submissions with original technical and scientific research results in relevant topics.

 

Main Topics of Interest:

 

Theoretical and Technological Advances of Foundation Models
New Architecture Design of Foundation Models	Model Training and Optimization Algorithms
Alignment and Safety of Foundation Models	Model Compression and Efficient Inference
Emergent Ability and Theoretical Interpretation	Multimodal Foundation Model Technology
Few-shot and Zero-shot Learning Mechanisms	Large-Scale Data Processing and Curation
Distributed and Cloud Computing for Models	Privacy Protection and Federated Learning
Applied Machine Learning and Industrial Intelligent Applications
Intelligent Perception and Computer Vision Applications	Natural Language Processing and Human-Computer Interaction
Industrial Intelligent Optimization and Predictive Maintenance	Healthcare and Biometric Intelligent Analysis
Intelligent Decision-Making and Financial Risk Control	Autonomous Driving and Intelligent Transportation
Smart Agriculture and Environmental Monitoring	Education Intelligentization and Knowledge Mining
Robotics and Intelligent Control Systems	Smart City and Social Public Services