You are invited to submit your abstract to the International Conference On Artificial Intelligence, Machine Learning and Technology (ICAIMLT-2024), Tokyo, Japan under the following tracks, but not limited to:
Track 1 :
Deep Learning :
- Q-Learning and Deep Q-Networks (DQN)
- Policy Gradient Methods
- Meta-Learning
- Mean Squared Error (MSE)
- Hinge Loss
Track 2 :
Neural Networks :
- Artificial Neural Networks (ANNs)
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Transformer Networks
Track 3 :
Natural Language Processing (NLP) :
- Word Embeddings
- Sequence Models
- Pre-trained Language Models
Track 4 :
Computer Vision :
- Object Detection
- Semantic Segmentation
- Image Generation
Track 5 :
Big Data and Data Mining :
- Ethical and Social Issues in Data Mining
- Data Mining Algorithms
- Data Mining in Social Media
- Web Mining
- Scalable Data Mining
- Big Data Architecture
- Big Data Processing
- Big Data Tools and Technologies
Track 6 :
Supervised learning :
- Dataset
- Training
- Loss Function
- Linear Regression
- Support Vector Machines
- Applications
- Evaluation
Track 7 :
Emerging AI Technologies :
- Generative AI
- Explainable AI (XAI)
- Federated Learning
- AI in Edge Computing
- Self-supervised Learning
- AI for Drug Discovery
- AI and Quantum Computing
- Human-AI Collaboration
