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.
The CAIR node at NWU studies machine learning, with a specific emphasis on deep learning. The group has a longstanding interest in the theoretical analysis of these networks, including their interpretability and generalisation behaviour. The group also applies these techniques to various domains, with a strong track record in speech and language processing.
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.
This research group is located at the Department of Philosophy at the University of Pretoria.
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 goal of the group is to conduct applied research in Data Science and Artificial Intelligence, with a focus on Mathematical and Computational Statistics.