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South Africa scales up number of AI hubs

Simnikiwe Mzekandaba
By Simnikiwe Mzekandaba, IT in government editor
Johannesburg, 18 Apr 2024
More institutes dedicated to artificial intelligence are planned for South Africa.
More institutes dedicated to artificial intelligence are planned for South Africa.

A plan to open another institute dedicated to artificial intelligence (AI) is in the works, this time in Saldanha Bay in the Western Cape.

This was revealed by Anish Kurien, professor in the Department of Electrical Engineering at the Tshwane University of Technology (TUT) and acting director of the TUT AI hub.

So far, the multi-stakeholder venture with the Department of Communications and Digital Technologies has seen the launch of an AI hub at the University of Johannesburg (UJ) in 2022, at TUT in 2023, and the third in February at the Central University of Technology.

The fourth AI hub will be launched next month at the SA Military Academy based in Saldanha Bay. The academy is a military unit of the South African National Defence Force and houses the Faculty of Military Science of the University of Stellenbosch.

“It will launch at the beginning of May,” says Kurien, of the next AI hub. “The idea is to have this national footprint as the initially-prescribed strategy by having an institute operating at national level. There will be a scaling up of the number of hubs operating in different sectors.”

The launch of the AI institutes signals the realisation of one of the recommendationsof the Presidential Commission on the Fourth Industrial Revolution (PC4IR) that South Africa establish an AI institute, to catapult the country’s digital future.

They are also expected to serve as a common base for knowledge generation, research and development, as well as implementation capabilities of AI applications for areas such as health, agriculture, finance, mining, manufacturing and government.

TUT formed part of the initial higher education institutions to host the AI hubs.

Each hub is linked with an economic sector that can be enhanced through AI and a series of catalytical projects.

For example, the UJ hub focuses on industries such as the value chain of manufacturing, retail, fintech, digital mining, the energy sector, digital banking and identity, as well as the criminal justice system.

In the case of TUT, it is linked to the sectors of automotive, farming and food production, 4IR manufacturing, tourism, health, transportation and telecommunications.

Like the other AI hubs, the purpose of the TUT hub is aligned to some of the recommendations in the PC4IR report. “There were a number of objectives that were articulated in that report, one being establishing the AI institute.

“To be able to drive interest in the institute, there needs to be contribution to building AI skills in the national ecosystem. One of our objectives as an institute is to really capacitate young students and scholars in the space of AI and to expose them to this emerging space.

“Part of our objective is to provide necessary exposure on various AI-related skills and that’s where we’ve been putting a lot of effort.”

According to the professor, TUT has been participating in the AI space for quite some time. As a result, the higher education institution has a lot of research and innovation projects that it has collated to support the AI hub.

“We’ve had a number of activities, ranging from AI in healthcare, to AI in the manufacturing space. We have a very strong initiative of applying AI in the farming and food production space, as well as a new area that focuses on generative AI and large language models for the education sector. We also have interests in the telecoms and transport sectors.

“Our breadth is quite wide in terms of application areas, but the emphasis and ethos is to adopt AI technologies and capacitate the students that we train through these various initiatives,” he states.

Anish Kurien, professor in the Department of Electrical Engineering at TUT and acting director of the TUT AI hub.
Anish Kurien, professor in the Department of Electrical Engineering at TUT and acting director of the TUT AI hub.

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