Algorithms that enable computers to learn from data and make predictions or decisions without explicit programming; computational models inspired by the structure and function of the human brain, consisting of interconnected nodes that process information and learn complex patterns.

Artificial Neural Networks (Multi-Layer FF) Spiking
Artificial Neural Networks
Convolutional Neural Networks
Deep Learning
Recurrent Neural Networks and Reservoir Computing
Multilayer Perceptrons and Kernel Networks
Learning and Adaptive Systems
Machine Learning
Bayesian and Echo State Networks
Bayesian Models
Deep Learning and Big Data
Deep Learning and Big Data Analytics
Deep Learning and Cybersecurity
Deep Learning and Forensics
Deep Learning and Real-Time Systems
Deep Learning and Social Networks
Machine Learning and Cybersecurity
Machine Learning and Forensics
Machine Learning for Biomedical Systems
Multilayer Perceptrons
Suggested topics include, but are not limited to, the following:
Machine Learning and Neural Networks
Algorithms that enable computers to learn from data and make predictions or decisions without explicit programming; computational models inspired by the structure and function of the human brain, consisting of interconnected nodes that process information and learn complex patterns.
Artificial Neural Networks (Multi-Layer FF) Spiking
Artificial Neural Networks
Convolutional Neural Networks
Deep Learning
Recurrent Neural Networks and Reservoir Computing
Multilayer Perceptrons and Kernel Networks
Learning and Adaptive Systems
Machine Learning

*Suggested topics include, but are not limited to the above.

Practical use of artificial intelligence across various fields, including healthcare, finance, gaming, marketing, and robotics; techniques such as machine learning, natural language processing, and computer vision to solve real-world problems, automate tasks, and enhance decision-making processes.

Agriculture
Artificial Intelligence
Biomedical Systems
Building Automation
Construction Automation
Cybersecurity
eBusiness, eCommerce, eHealth, eLearning
Environmental Intelligent Modeling
Finance, Banking and Insurance
Forensic Sciences
Gaming
Generative Design
Healthcare
Infrastructure Management
Marketing
Media Machine Learning in Engineering
Medical Informatics and Biomedical
Parametric Design
Predictive Maintenance
Robotics and Virtual Reality
Safety and Security
Smart Cities
Social Media
Space Optimization
Structural Analysis
Telecommunications – Transportation
Urban Mobility
Urban Planning

*Suggested topics include, but are not limited to the above.

Extracting meaningful insights and patterns from large datasets; techniques such as data cleaning, preprocessing, statistical analysis, and machine learning to uncover hidden relationships and trends; decision-making, predict future outcomes, and derive actionable insights for businesses and organizations.

Data Fusion
Data Mining and Information Retrieval
Knowledge Acquisition and Representation
Knowledge Management for e-Learning and Enterprise Portals
Text Mining
Time Series and Forecasting
“Training and Learning Inference, Recognition Clustering, Mining,
and Exploratory Analysis”

*Suggested topics include, but are not limited to the above.

Enabling computers to understand, interpret, and generate human language; tasks such as sentiment analysis, machine translation, text summarization, and language understanding; communication between humans and machines, enabling interactions through speech, text, and dialogue systems.

Chatbot
Natural Language Processing
Speech and Natural Language Processing
Speech Synthesis
Ontologies

 *Suggested topics include, but are not limited to the above.

Computer Vision and Image Processing

Enabling machines to interpret and understand visual information from images or videos, performing tasks like object detection and recognition; manipulating digital images to extract useful information or enhance visual quality, aiding in analysis and decision-making.

Colour / Image Analysis
Computer Vision
Object and Face Recognition
Image Processing
Signal and Image Processing
Smart Graphics

*Suggested topics include, but are not limited to the above.

Designing systems that achieve desired objectives while accounting for uncertainties and constraints; adaptive control methods for dynamic systems and optimization algorithms for finding optimal solutions.

Adaptive Control
Evolutionary Systems – Optimization
Particle Swarm Optimization
Planning and Resource Management
Planning and Scheduling

*Suggested topics include, but are not limited to the above.

Intersections with diverse fields like neuroscience, psychology, economics, and sociology; neuromorphic computing, affective computing, and AI ethics; foster collaboration, offering novel perspectives and solutions to complex problems while addressing societal, ethical, and technological challenges in AI development and deployment.

Affective Computing
Biologically Inspired Neural Networks
Crisis and Risk Management
Engineering and Industry
Internet of Things (IoT)
Smart Grids
Swarm Intelligence and Decision-Making
Theoretical Neural Computation

 *Suggested topics include, but are not limited to the above.

Designing intuitive interfaces and interactions between humans and AI systems; user experience (UX) research to optimize usability, accessibility, and satisfaction; communication and collaboration, ensuring AI technologies effectively support and augment human capabilities across various domains and applications.

Human-Machine Interaction / Presence Information and Optimization
Intelligent Profiling and Personalization

*Suggested topics include, but are not limited to the above.

Ethical considerations, regulations, and standards; fairness, transparency, accountability, and privacy protection; developing guidelines, laws, and international agreements to mitigate risks and maximize the societal benefits.

Ethical Issues
Social Impacts and Implications
Development, Deployment and Governance

*Suggested topics include, but are not limited to the above.

Develop and deploy AI technologies in a manner that minimizes environmental impact, promotes social equity, and ensures long-term viability; optimizing energy efficiency, reducing carbon footprint, addressing biases, and fostering equitable access to AI resources, contributing to a sustainable and inclusive future.

Energy Efficiency and Optimization
Environmental Monitoring
Sustainable Agriculture
Climate Modeling

*Suggested topics include, but are not limited to the above.

The ability of artificial intelligence systems to generate novel and valuable outputs, such as art, music, literature, or designs; using algorithms like generative adversarial networks (GANs), recurrent neural networks (RNNs), and reinforcement learning to produce original content, often indistinguishable from human-created works.

Art
Music
Design
Literature
Content Generation

*Suggested topics include, but are not limited to the above.