Daniel Roodt is doing his Phd research in the area of compression algorithms.
Compression Algorithms are methods and techniques of storing information as efficiently as is possible. This allows files such as pictures and videos to take up a fraction of the storage space or bandwidth than they would otherwise require when being stored or transmitted. My research project aims to develop more efficient compression algorithms, which compress the files much faster, and to smaller sizes, than is currently possible. This will enable data centres to migrate files between centres much more efficiently, as well as improving communication speeds over the internet without upgrading the existing infrastructure.
The problems which need to be solved to achieve this goal are actually the same as those facing artificial intelligence. This is because compression requires an understanding of the data, in order to optimally compress it. Another, more general, consequence of my research is therefore that computers will be able to more generally extract meaning from data, which will help in the design of artificial intelligence capable of understanding.