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