HYBRID EVENT: Join us in person at Rome, Italy or virtually from anywhere!
3rd World Conference on
Artificial Intelligence, Machine Learning and Data Science
May 23 - 24 , 2024 | Rome, Italy
Virtual Conference
All Topics
- Deep Learning Applications in Healthcare
- Natural Language Processing for Information Extraction
- Image Processing and Computer Vision
- Recommender Systems and Personalization
- Data Mining Techniques for Big Data Analysis
- Machine Learning for Cybersecurity
- Reinforcement Learning in Robotics
- Bayesian Learning for Uncertainty Estimation
- Time Series Analysis and Forecasting
- Predictive Analytics for Business Intelligence
- Transfer Learning for Model Generalization
- Generative Adversarial Networks for Image Synthesis
- Explainable AI and Interpretability
- Federated Learning for Collaborative Intelligence
- Neural Networks for Speech Recognition
- Multimodal Learning for Multimedia Processing
- Human-Machine Interaction and Collaboration
- Knowledge Representation and Reasoning
- Data Privacy and Security in Machine Learning
- Graph Mining and Network Analysis
- Active Learning for Efficient Data Collection
- Cognitive Computing and Intelligent Agents
- Sentiment Analysis and Opinion Mining
- Unsupervised Learning for Clustering
- Data Visualization and Exploration
- Machine Learning for Medical Imaging
- Online Learning for Streaming Data
- Feature Selection and Dimensionality Reduction
- Automated Machine Learning and AutoML
- Multi-Task and Multi-Modal Learning
- Robustness and Adversarial Attacks in Deep Learning
- Real-Time and Embedded Systems for AI
- Sequential Decision Making and Planning
- Blockchain and Distributed Ledgers for Data Privacy
- Machine Learning for Smart Cities
- Active Perception and Sensor Fusion
- Speech and Language Translation
- Meta-Learning for Model Adaptation
- Spatial-Temporal Learning for Video Analysis
- Causal Inference and Counterfactual Reasoning
- Machine Learning for Time Series Forecasting
- Edge Computing and Federated Learning
- Explainable Recommendation Systems
- Automated Feature Engineering and Selection
- Auto-Encoding and Variational Autoencoders
- Neurosymbolic Integration and Reasoning
- Reinforcement Learning for Traffic Control
- Machine Learning for Drug Discovery
- Adversarial Machine Learning for Security Testing
- Multi-Objective Optimization and Pareto Fronts
