Artificial Intelligence Research Centre
Focusing on Knowledge and Data Engineering including machine learning, knowledge representation and reasoning, informatics and systems, and foundations of artificial intelligence.
The main research themes in Artificial Intelligence Research Centre (AIRC) are AI foundations, machine learning, knowledge engineering, informatics and systems.
Specific topics include mathematical modelling and optimisation, knowledge representation, probabilistic and uncertainty reasoning, logics, decision making, bioinformatics, geo-informatics, information retrieval, autonomic computing, digital intervention, spectroscopy, and text/image/video analytics.
Applications include work on decision support systems, data and knowledge modelling, protein–protein interaction prediction, swarm systems modelling, ecological system modelling, chatbots, food authentication and virus detection, text/video/image analytics (e.g. text matching, text summarisation, sentiment analysis, information retrieval, video search, face recognition, medical image analysis, object detection, anomaly detection, change detection, intrusion detection, biomarker detection and biometrics), and AI for education.
In this section
AIRC's vision is to develop AI technologies that underpin an intelligent society, empower people and support a sustainable future.
Find out more about what we're working on at AIRC as well as projects that we've recently completed.
If you would like to find out more about the Artificial Intelligence Research Centre contact the centre leader Hui Wang.