World Conference on Artificial Intelligence, Machine Learning, and Data Science on May 23-24, 2024 in Rome, Italy

• 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

Name: Eurasia Conferences
Website: https://eurasiaconferences.com/
Address: Kemp House, 152-160 City Road, London, EC1V 2NX.

We pursue innovation and create excellent platforms that help you achieve your academic and professional goals. Educational and academic events contribute to the better development of professional skills, and all our events create forums for sharing ideas and initiating collaboration among academicians and professionals.