2024 9th International Conference on Mathematics and Artificial Intelligence - ICMAI 2024 will be held from May 10-12, 2024, in Beijing, China. It is sponsored by Beijing University of Technology, China.

The conference encourages contributions that promote the exchange of ideas and rational discourse between educators and researchers. It provides a unique opportunity for participants to engage in discussions and collaborations that can lead to the development of innovative solutions and advancements in the field of mathematics and artificial intelligence. Participants can expect a diverse range of presentations, keynote speeches, panel discussions, and workshops that cover various aspects of mathematics and artificial intelligence. The conference will provide a platform for researchers to showcase their latest findings, exchange knowledge, and explore potential collaborations.

ICMAI 2024 promises to be an enriching and intellectually stimulating event, offering participants the opportunity to network with leading experts, gain insights into cutting-edge research, and contribute to the advancement of mathematics and artificial intelligence. Whether you are an established academic, a budding researcher, or an industry professional, this conference is a must-attend event to stay updated with the latest trends and developments in these fields.

It is hoped to influence the spawning of new areas of applied mathematics and the strengthening of the scientific underpinnings of Artificial Intelligence. The following topics of interest for submission include, but are not limited to:

Track 1: Artificial Intelligence Theory and Application

Fuzziness and AI
Algebra and AI
Trustworthiness and AI
Artificial Intelligence (incl. Robotics)
AI and Digital Entertainment
AI and Education
AI and Smart Cities
AI applications
AI in Learning Environments
Human Computer Interaction
Robotics / Softrobotics and Control Applications
Knowledge Engineering
Natural Language Processing
Vision and Perception
Knowledge acquisition
Image Analysis
• Video Analysis
• Medical Image Processing
• Intelligent Vehicles
• Knowledge Representation and Reasoning
• Intelligent Robot and Systems
• Smart Medical Systems

Track 2: Intelligent algorithms and soft computing

Artificial intelligence frontier numerical calculation method
Reinforcement learning for intelligent decision making
Data Mining
Data fusion algorithm and application
Graph Computing and Graph Neural networks
Causal learning and interpretability
Multigranular cognitive computing
Three-way decision making and Machine Learning
Computational Creativity 
Computer Science, general
Evolutionary Computation
Experimentation of Combinatorial Algorithms
Learning in adaptive systems 
Machine Learning
Neural Nets
Soft and Evolutionary Computing 
Algorithm Design for Intelligent Solutions
Machine Learning Applications
Graph-based models for human reasoning
Data and Text mining
Knowledge reasoning, statistical learning, deep learning, reinforcement learning
Fuzzy Logic

Track 3: Mathematical Theory and Fundamentals

Cognitive modeling and Computing 
Probability and Statistics
Differential Equations and Applications
Discrete Mathematics and Control
Linear Algebra and Applications
Numerical Analysis
Operations Research and Optimization
Approximation Theory
Combinatorics
Computability Theory
Discrete Geometry
Matrix Computations
Ordinary Differential Equations
Partial Differential Equations
Statistical Finance
Stochastic Processes
Financial Mathematics
Nonlinear Processes in Physics
Game Theory
Graph Theory
Linear Programming
Mathematical Biology
Mathematical Chemistry
Mathematical Economics
Mathematical Physics
Mathematical Psychology
Mathematical Sociology