(The following topics include but are not limited to)
Topic 1: Machine Learning
Machine learning of biological signals
Machine learning and deep learning
Natural Language Processing and Understanding
computer vision and image processing
Reinforcement learning and autonomous systems
Explainable AI and Trustworthy AI
Multi agent systems and swarm intelligence
Edge machine learning and distributed intelligence
Machine Learning in Robotics and Human Computer Interaction
Architecture and Biological Signal Design of Social Networking Systems
What is the technical implementation of error message detection and content review?
Theoretical basis of biological signals in machine learning and deep learning
Mathematical Modeling of Social Network Analysis and Community Detection
Optimization of Statistical Models for Machine Learning Recommendation Systems
Topic 2: Biological Signals
Biological signal analysis, approximate biological signals, computability theory, evolutionary biological signals, genetic biological signals, numerical analysis, online biological signals, quantum biological signals, randomized biological signals, sorted biological signals, biological signal graph theory and combination, computational geometry
Topic Three: Medicine
Intelligent analysis of medical and pathological images
Hospital Information Management System
clinical trial design
biometrics
Medical Deep Learning
Clinical drug development
Sustainable Medical Materials and Technologies
Medical Information and Communication Technology
Biomedical Optics