Intelligent Systems
The intelligent systems research area focuses on the applications and implementations of artificial intelligence (AI) and machine learning-based methods and techniques to address various organisational, business and societal problems and issues.
The concerted goal is to push the limits of intelligent tools and propose novel AI/machine learning constructs, models, methods, or instantiations with implications for human augmentation for economic and societal purposes.
What We Do
Develop, improve, and apply machine learning models and algorithms to gain insights into solving industry-specific problems.
Construct and develop novel AI models, methods, or instantiations with implications for human augmentation.
Advance knowledge in AI management and governance.
Sub Areas
- AI Governance
- Deep Multi-View Learning
- Human Augmentation and Automation
- Human-Machine Collaboration
- Machine Translation
- Recommendation Systems
- Speech Recognition and Technology-Enabled Language Acquisition
- Supervised and Unsupervised Learning
