◕ Artificial Intelligence Fundamental Technologies

Machine learning theory and algorithms

Deep learning models and architectures

Neural networks and brain-inspired computing

Reinforcement learning algorithms and systems

Transfer learning and multi-task learning

Multimodal information fusion and representation

Distributed and edge intelligent computing

Natural language processing and understanding

Optimization algorithms for intelligent systems

Embedded AI and lightweight model design

Adversarial machine learning and robustness

Knowledge graph and knowledge reasoning

Unsupervised and self-supervised learning

Meta-learning and few-shot learning

Large-scale foundation model theory and training

◕ AI Applications for Public Safety

Computer vision-based public security anomaly detection

Multi-source sensor fusion for public safety monitoring

AI-based disaster identification and image detection

Intelligent situational awareness using big data analysis

Dynamic scene modeling and simulation for public security

AI-based risk prediction and early warning systems

Emergency communication network optimization via AI

Face recognition and identity authentication for public safety

Crowd analysis and abnormal crowd behavior detection

Space-air-ground integrated system intelligent perception

AI-based key area monitoring and security control

Intelligent speech analysis for public security early warning

Cross-domain data collaboration for public safety governance

AI-powered emergency response and decision support system

◕ AI and Information Assurance

Information assurance and data integrity protection

AI-based sensitive information detection and governance

Trustworthy AI and reliable system construction

Secure information sharing across public safety domains

Multimedia content security and copyright protection

Mission-critical system information security assurance

Data encryption and access control based on AI

Threat intelligence analysis and security governance

Distributed AI system security and fault tolerance

Information security standards and compliance management

High-reliability AI algorithm design for security scenarios

Digital identity authentication and security verification

Security monitoring of cloud and edge data

Legal and ethical issues in AI-driven security governance

Security log analysis and abnormal behavior mining

◕ AI and Cybersecurity

AI-driven network intrusion detection and defense

Machine learning for cyber threat intelligence analysis

Cybersecurity of cyber-physical public safety systems

AI-based malware detection and classification

Privacy-preserving AI in public safety data applications

Secure multimedia transmission and digital forensics

Adversarial attack defense for security AI models

Resilient control against denial-of-service attacks

AI for vulnerability mining and risk assessment

IoT security monitoring based on machine learning

Mobile communication security and information assurance

Hybrid threat detection using deep learning

Secure edge computing for public safety networks

Cyber system security engineering and design

Collaborative security defense in emergency networks