1. Graph Neural Networks (GNN) 

2. Generative Adversarial Networks (GAN)

3. Self-supervised learning 

4. Meta-learning

5. Interpretable AI

1. Deep Reinforcement Learning (DRL)

2. Multi-Intelligent Systems

3. Sequential Decision Making and Dynamic Planning

4. Evolutionary Algorithms & Heuristic Optimization

5. Security and Robustness

1. Neural Architecture Search (NAS)

2. Hyperparameter Optimization

3. Automated Data Preprocessing

4.Migration Learning & Domain Adaptation

5. Sample less vs. zero sample learning

1. Neuromorphic Computing

2. Brain-computer interfaces and neural networks

3. Brain-like Intelligence

4.Brain Network Analysis

5. Bio-inspired learning algorithms

1. Medical and Health Data Analytics 

2. Financial Market Analysis and Trading Strategies

3. Automated Driving and Intelligent Transportation 

4. Natural Language Processing and Language Generation

5. Industrial Automation and Intelligent Manufacturing