Track 1
Artificial
Intelligence
Foundations of AI
Computational theories of learning
fuzzy logic
neural networks
pattern recognition
reasoning and evolution
soft computing theory and applications
AI Tools and Techniques
Artificial intelligence tools and applications
data mining and machine learning tools
heuristic and AI planning strategies and tools
intelligent system architecture
knowledge representation
knowledge-based systems
natural language processing
semantic web techniques and technologies
programming languages
AI Applications
Automatic control
bioinformatics
CAD design and testing
computer vision and speech understanding
mechatronics
multimedia and cognitive informatics
pervasive computing and ambient intelligence
robotics
software and hardware architectures
web intelligence applications and search
Emerging trends
Recent trends and developments in AI and related fields.
Hybrid systems
Hybrid intelligent systems which combine two or more AI techniques to solve complex problems.
“Artificial intelligence is the future of everything, if we do it right. It is the best or worst thing ever to happen to humanity.”
― Tomi Mester
Track 2
Machine
Learning