2026 5th International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2026)


★CONTACT US
Website：https://www.faiml.org/
Date：June 5 to 7, 2026
Venue：Changsha, China
Email：email@faiml.org
Tel：+86 28 85575979 (International)

★ Welcome to FAIML 2026
2026 5th International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2026) will take place in Changsha, China from June 5 to 7, 2026. It is organized by Hunan University, hosted by College of Computer Science and Electronic Engineering, Hunan University, co-organized by Hunan Normal University, Changsha University of Science and Technology, Hunan University of Science and Technology, Xiangtan University, University of South China and CoreShare Academic Exchange Center. FAIML 2026, under the theme 'Reshaping Intelligence and Leading Development,' highlights the effective use of intelligent technologies to promote comprehensive social development and progress.

★Publication Information
Registered and presented full papers will be included in the FAIML 2026 digital conference proceedings and submitted to major citation databases (including, but not limited to Ei Compendex and Scopus) for review and indexing.

★Call for papers （https://www.faiml.org/cfp.html）
Topics of Interest include but not limited to:
1. Robotics
Adaptive and Flexible Industrial Robotics
Agriculture Robots
Cognitive Robotics
Human-robots Interface and Interaction
Humanoid Robotics
Modelling and Simulating Complex Robots
Multi-Robot Systems
Robot Behavior Engineering
Robot Vision Systems
Symbiotic Robotics System

2. Artificial Intelligence and Machine Learning
Deep Learning
Expert Systems
Medical AI
Multi-agent Systems
Artificial Intelligence in Modelling and Simulation
Distributed Intelligent Processing
Evolutionary Robotics and Reactive Intelligence
Hybrid Learning Models and Methods
Intelligent Data Analysis and Mining
Neural Network Theory and Architectures

3. Fuzzy Systems and Optimized Algorithms
Fuzzy Control
Fuzzy Logic
Fuzzy Optimisation
Multi-Objective Optimization in AI
Hyperparameter Optimization in Machine Learning
Reinforcement Learning Optimization
Transfer Learning and Fine-tuning Optimization
Optimized Search Algorithms for AI Planning
Collaborative Filtering and Optimization in AI
Optimization in AI-powered Natural Language Processing (NLP)

4. Intelligent Systems and Computing
Sensor Fusion
Intelligent Avionics
Intelligent Devices and Instruments
Intelligent Manufacturing
Autonomous Driving
Wireless Communication System
Smart Grid Application
Green Computing
Grid Computing
Embedded Computing