HYBRID EVENT: Join us in person at Paris, France or virtually from anywhere!

2nd World Conference on

Artificial Intelligence, Machine Learning and Data Science

October 19 - 20 , 2023 | Paris, France
Hotel Mercure Paris CDG Airport & Convention Roissypôle Ouest, Route de la Commune, Cedex, 95713 ROISSY CHARLES DE GAULLE, Paris, France

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