(The following topics include but are not limited to)
Topic 1: Medicine
enzyme engineering
biomaterial
biomedicine
genetic engineering
fermentation engineering
Biopesticides
Microbial classification
Learn Cell/Tissue Engineering
Control and Systems Engineering
Microbial Medicine
Cell and Tissue Engineering
Micro/Nano Bioengineering
Cell and Molecular Biology
Molecular drugs in animals and plants
Materials Chemistry and Dietary Diversity
Food and dairy biotechnology industry
Topic 2: Artificial Intelligence
Artificial Intelligence Algorithm
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 artificial intelligence and distributed intelligence
Artificial Intelligence in Robotics and Human Computer Interaction
Architecture and Algorithm Design of Social Networking System
Technical Implementation of Error Information Detection and Content Review
Theoretical basis of machine learning and deep learning algorithms
Mathematical Modeling of Social Network Analysis and Community Detection
Optimization of Statistical Models for Artificial Intelligence Recommendation Systems
Topic 3: Big Data
Big data analysis management
Big data analysis, search and mining
Big Data Services
Big data encryption
Big Data Open Platform
Big data quality and source control
Big Data Toolkit
Data Mining, Graph Mining, and Data Science
Basic Model of Big Data
Big data analysis and social media
Big Data Application: Bioinformatics
The scientific application of big data
Innovation in Big Data Business Models
Network and Data Security and Privacy Protection
Technologies, models, and algorithms of big data
Tools and systems for big data
Big data visualization analysis
Big data hardware/software infrastructure
intelligent data processing
Machine learning and big data artificial intelligence
Knowledge Discovery and Data Mining