Session Tracks

Artificial Intelligence (AI) Fundamentals

Artificial Intelligence (AI) Fundamentals

  • Adaptive Control
  • Agent and Multi-Agent Systems
  • Artificial Neural Networks Spiking
  • Artificial Neural Networks
  • Bayesian Models
  • Biologically Inspired Neural Networks
  • Architectures Interacting with The Brain
  • Convolutional Neural Networks
  • Deep Learning
  • Big Data
  • Distributed AI Systems and Architectures
  • Evaluation of AI Systems
  • Evolving Systems – Optimization
  • Affective Computing
  • Grid-Based Computing
  • Knowledge Acquisition and Representation
  • Knowledge Engineering, Machine Learning
  • Multi-layer Perceptron
  • Multilayer Perceptron and Kernel Networks
  • Learning and Adaptive Systems
  • Mathematical Foundations of AI and Intelligent Computational methods
  • Media Machine Learning in Engineering
  • Natural Language Processing
  • Object and Face Recognition, Ontologies
  • Reasoning Methods, Particle Swarm Optimisation
  • Planning and Resource Management
  • Planning and Scheduling

AI Applications

AI Applications

  • Autonomous and Ubiquitous Computing
  • Biomedical systems
  • Bioinformatics Coding
  • Collective Computational Intelligence
  • Color/Image Analysis
  • Computer Vision, Crisis and Risk Management
  • Data Fusion
  • Data Mining and Information Retrieval
  • Decision Support Systems
  • Deep Learning
  • Real Time Systems
  • Social Networks
  • eBusiness
  • eCommerce
  • eHealth
  • eLearning
  • Engineering and Industry
  • Expert Systems
  • Finance and AI
  • Fuzzy Logic and Systems
  • Genetic Algorithms and Programming
  • Human-Machine Interaction
  • Intelligent Real Time Monitoring and Control
  • Knowledge Management
  • Cybersecurity, Forensics
  • BioMedical
  • Medical Informatics and Biomedical
  • Movement and Motion
  • Multimedia Computing
  • Multimedia Ontologies
  • Multimedia, Political Decision Making
  • Project Management Recommendation Systems
  • Recurrent Neural Networks and Reservoir Computing
  • Robotics and Virtual Reality
  • Signal and Image Processing
  • Knowledge Extraction
  • Smart Graphics
  • Smart Grids
  • Social Media and AI
  • Speech and Natural Language Processing
  • Speech Synthesis
  • Time Series and Forecasting
  • Mining and Exploratory Analysis

AI and Social Issues

AI and Social Issues

  • AI and Ethical Issues
  • Cybersecurity and AI
  • Deep Learning and Big Data Analytics
  • Deep Learning and Cybersecurity Deep Learning and Forensics
  • Forensic Science
  • Intelligent Profiling and Personalisation
  • Machine Learning and Social
  • Social Impact of AI