2025 International Conference on Artificial Intelligence and Foundation Model (AIFM 2025) will be held from July 18-20 2025 in Guangzhou, China, which has a long history and rich cultural heritage. This conference is an important academic event in the global field of artificial intelligence, aiming to gather experts and scholars from academia, industry, and government agencies around the world to jointly explore the latest developments and future directions of artificial intelligence and its large-scale model technology.

In recent years, with the improvement of computing power and the development of big data technology, research on artificial intelligence and big models has become an important component of cutting-edge technology. From natural language processing to computer vision, from robot learning to autonomous driving, the application of large models is profoundly changing various industries. This conference will delve into the multidimensional applications of artificial intelligence, including the construction, training, and optimization of large-scale models, as well as practical implementation in specific industries, to promote effective integration between theory and application.

We sincerely invite you to participate in this global academic event, to explore the future development of artificial intelligence and big models with numerous scholars and colleagues, and to jointly promote innovation and progress in this field. For more information and registration, please visit the official website of the conference. We look forward to meeting you in Guangzhou and discussing the infinite possibilities of the intelligent future together!

PUBLICATION

All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers of AIFM 2025 will be published in the ACM International Conference Proceedings Series, and then will be submitted to ACM Digital Library, EI Compendex and Scopus for indexing.


CALL FOR PAPERS

Track 1: Theoretical Foundations of Foundation Model

Basic model framework
Model training and optimization
Distributed computing
High performance computing optimization
Data management and efficient access
Large model compilation optimization
Multimodal fusion
Reinforcement learning
Pre-training

Track 2： Model Security and Large-scale Intelligence

Counter attack and defense
Data security and privacy protection
Model inversion attack
Model stealing attack
Data extraction attack
Attack detection
Outlier detection
Acting exercise
Federated learning
Generating model security

Track 3： Foundation Model Applications

Image classification and object detection
Image generation and editing
Multimodal understanding
Depth reasoning
Urban computing
Spatio-temporal data mining
Natural language processing
Visual language model

Track 4： Embodied Intelligence and Robotics

Intelligent robot
Visual tracking
Machine translation
Robot perception
Path planning
Task planning and intelligent control
Robot system