AIoT Track 1: 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