The power of inclusive artificial intelligence for training

"For only four hours of simulated data from the telescope, my code could run for five days before outputting the results," Atemkeng says. "I became passionate about the amount of data the SKA would produce in the future – a data stream likely to be in the order of PB/s. At this data scale, even using the most powerful supercomputers, the computation will always remain a major challenge. So I became interested in developing tools for big data, which can be implemented with AI and machine learning algorithms." For Atemkeng, most of Africa's problems – from poverty to food access for its rapidly growing population, education and healthcare access in rural areas – could be solved using machine learning and big data analytics.