AlphaZero is a machine capable of defeating the most complex board games for the human mind, based only on its own learning experience, not on accumulated human knowledge.
Machine learning is changing the world in ways that we are just beginning to appreciate. But could it change the way we do science and the reasons why we do science?
It's time programmers looked out old computer text adventures like Zork and Colossal Cave from the 1970s and 1980s.
The history of human-machine collaboration suggests that AI will evolve into a "cognitive partner" to humankind rather than as all-powerful, all-knowing, labour replacing robots.
The new AlphaGo Zero artificial intelligence took just days to learn to play Go from scratch, with no human intervention. It even learned strategies never seen before in human play.
Computers today are fast and powerful but they still can't think like a human when it comes to some tasks we find easy. That's why tech companies are turning to neuroscience for help.
The artificial intelligence that beat a world master at the game of Go is now to be directed at more complex global problems. So what can we expect?
Google's AlphaGo victory over the human world champion shows how far things have come since DeepBlue.
Twenty years after Deep Blue beat Garry Kasparov at chess, artificial intelligence can make games more fun, and perhaps even endlessly enjoyable, if it learns to adapt.
Several methods can teach an algorithm to learn. With more or less important datasets, which are or are not previously labeled and categorized.