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This week in artificial intelligence (AI) news, we take a look at AI solving the infamous Rubik’s cube, Africa’s future role in the global AI community, and the importance of radiological professionals being trained in AI in order to assess new tools and technologies coming to market.

It’s one achievement to programme a computer to solve a Rubik’s cube, but for an algorithm to teach itself how to solve the puzzle on its own is quite another accomplishment. In this article from the international journal of science, Nature, we learn how this algorithm was developed to solve the cube on every single attempt. Click here to read more.

Head and co-founder of the Google AI Research Lab in Accra, Ghana, Moustapha Cisse, discusses the barriers and obstacles that African AI researchers and engineers experience as part of a global AI community. Cisse then makes the case for the future of Africa as an AI hub, citing the human resources, young population, and growing financial resources and tech start-ups, and touches on the legal framework and foundation that must be established to propel Africa forward and help to empower the citizens of its various countries. Read more by clicking here.

With the growing ubiquity of AI tools in healthcare, it is important to for radiologists and healthcare professionals alike to be able to assess the products that come to market. Dangers such as premature introduction of products and inadequate regulatory practices on both national and international levels have made self-assessment more important than ever. Dr. Nicola Strickland, who is currently the president of the U.K. Royal College of Radiologists, speaks more on these issues, in this article from

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