Big Data Africa School Trains Future Researchers in AI and Quantum Computing for Medical Imaging
Published
The South African Radio Astronomy Observatory (SARAO) has recently hosted the Big Data Africa School, a training programme designed to prepare the next generation of researchers across the continent. The school focused on how new technologies can be used in medical imaging, which is the process of creating pictures of the inside of the human body to help doctors find and treat illnesses.
During the programme, participants learned about three main areas: machine learning, deep learning and quantum computing. Machine learning is a method that allows computers to find patterns in large amounts of data, while deep learning is a more advanced form of this technology that uses networks inspired by the human brain. Quantum computing, which is still in an early stage of development, uses the rules of quantum physics to process information in a different way from ordinary computers.
The school brought together students, scientists and experts from different African countries. By sharing knowledge and working on practical projects, participants had the chance to build skills that could be used in hospitals, universities and research centres. Organisers say that building strong local expertise is important, so that African countries can develop their own solutions to health and data challenges.
The event shows how South African institutions are playing a growing role in advanced science and technology on the continent. Although quantum computing and AI-based medical imaging are still developing fields, programmes like this one aim to make sure that Africa has the trained people it needs for the future.
Sources: South African Radio Astronomy Observatory
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