The complexity of the human brain, in relation to that of other species, is one of the biggest wonders in science. Today, neural networks compete alongside us with processing powers that can calculate 200 million potential outcomes per second. With the data trail we feed into it as we go through our lives, and the vast data sets scientists are training machines on, they are learning to compete with the greatest human minds at our own games. In this story we explore how humans compare with machines in games, healthcare, art and emotional intelligence. AlphaGo, DeepMind's Go playing AI, has been dubbed "The AI that has nothing to learn from humans". Go is a complex strategy game over 3000 years old, with 10170 different board configurations.

According to research from Carnegie Mellon University kids solve math problems by going through four distinct stages: encoding (reading and understanding the problem); planning (working out how to tackle it); solving (crunching the numbers) and responding (typing in the correct answer). This follows the general path that is set out in school, but is not something missing? "We're not teaching them how to learn." Reflection and putting subjects in perspectives and in a general framework are all too often given too little space in school education. While at the same time this is the basic trigger for the ongoing extraordinary development of artificial intelligence.