FAIML 2027 highlights the effective use of intelligent technologies to promote comprehensive social development and progress, and aims to create a dynamic environment where academics, researchers, engineers, and industry professionals can come together to share the latest research findings, exchange ideas, and discuss emerging trends. The program features keynote speeches, parallel sessions, and workshops that cover a wide range of topics, showcasing significant developments and applications in AI and machine learning. Active participation and engagement in discussions will inspire collaboration and innovation.

We invite submissions on a wide range of research topics, spanning both theoretical and systems research. The topics of interest include, but are not limited to:

1. Robotics 2. Artificial Intelligence and Machine Learning
Adaptive and Flexible Industrial Robotics Deep Learning
Agriculture Robots Expert Systems
Cognitive Robotics Medical AI
Human-robots Interface and Interaction Multi-agent Systems
Humanoid Robotics Artificial Intelligence in Modelling and Simulation
Modelling and Simulating Complex Robots Distributed Intelligent Processing
Multi-Robot Systems Evolutionary Robotics and Reactive Intelligence
Robot Behavior Engineering Hybrid Learning Models and Methods
Robot Vision Systems Intelligent Data Analysis and Mining
Symbiotic Robotics System Neural Network Theory and Architectures

3. Fuzzy Systems and Optimized Algorithms 4. Intelligent Systems and Computing
Fuzzy Control Distributed Computing
Fuzzy Logic Intelligent Avionics
Fuzzy Optimisation Intelligent Devices and Instruments
Multi-Objective Optimization in AI Intelligent Manufacturing
Hyperparameter Optimization in Machine Learning Autonomous Driving
Reinforcement Learning Optimization Wireless Communication System
Transfer Learning and Fine-tuning Optimization Smart Grid Application
Optimized Search Algorithms for AI Planning Green Computing
Collaborative Filtering and Optimization in AI Grid Computing
Optimization in AI-powered Natural Language Processing (NLP) Embedded Computing