The Adaptive and Cognitive Systems Lab investigates architectures and frameworks for self-learning cognitive systems that are able to adapt to an evolving environment.
AI for development include topics such as Applied AI within Information Systems (IS), AI in Data Science, AI and socio-technical development; AI supporting sustainable end environmental development, AI for business innovation, and lastly, semantic technologies and applied ontology within information systems.
CAIR at Stellenbosch University conducts research in symbolic knowledge abstraction and representation in Artificial Intelligence, including semantic modelling, non-classical reasoning, and related knowledge-based approaches to AI.
The CAIR Node at UKZN conducts research in machine learning in general and deep learning in particular. The node focuses on deep learning neural network and Bayesian deep learning approaches to solving problems in recommender systems, natural language processing, self driving cars and image processing and computer vision.
MuST is a research group whose work focuses on the study of machine learning and statistical pattern recognition, with a strong track record of applying these in speech processing applications. Its researchers have a specific interest in deep learning techniques and their application in various domains.
KRR is a research group based in Computer Science at the University of Cape Town, working on various aspects of Knowledge Representation and Reasoning.
The research focus of the node is on ethics of AI and aspects of Knowledge Representation and Reasoning as it interfaces with research themes in philosophy of science.
The goal of the group is to conduct applied research in Data Science and Artificial Intelligence, with a focus on Mathematical and Computational Statistics.