Go is a game that has been around for 3000 years. It is widely accepted as the most challenging strategy game that exists. It takes years of playing for several hours every day to master the game. In other words, even though it has simple rules, it is not a simple game to excel at. Surprise! Deep Mind managed to create a machine that could master the game, without being programmed with explicit rules and without being taught by a professional Go player. AlphaGo mainly played against itself and ...

Go is a game that has been around for 3000 years. It is widely accepted as the most challenging strategy game that exists. It takes years of playing for several hours every day to master the game. In other words, even though it has simple rules, it is not a simple game to excel at. Surprise! Deep Mind managed to create a machine that could master the game, without being programmed with explicit rules and without being taught by a professional Go player. AlphaGo mainly played against itself and learned from this self-play. At its core, it learned like a human learns, by looking at the board, evaluating the options, making moves, and learning from mistakes - it just did it a lot faster than any human can.

This is extremely exciting because, at its core, what it means is that computer scientists have had all the tools they needed to do this for years. Neural networks have been known about and discussed since the middle of the last century. All it really took was simply getting creative with them, applying them in new ways. AlphaGo beating the world’s best Go player proves that AI has the potential to do anything. It can learn anything and understand anything, and from that learning and understanding it can accomplish what humans can accomplish in a much shorter period of time.

You’re probably wondering what this all means. We’re much closer to the dream of an AI best friend than most of us would have dared to imagine a few years ago. AlphaGo can learn the most complex, intuition and creativity based logic game known to man and it didn’t do so through a finite database or search trees alone. It learned from practice and experience, just like we do, and the ability to create amazing new solutions to ancient puzzles suggests a realm of digital creativity never before fathomed. AlphaGo is not like other game playing AIs that have come before it. It is the future of intelligent and intuitive machines, one that we plan to turn toward more than just board games. From practical applications to that friend you’ve been hoping for, AlphaGo is sure to be the first of a new generation of self-learning intuitive AIs that go above and beyond the limited calculating capacities of its older siblings and contemporaries. The AI winter is over.

(Source: https://medium.com)

Which best serves as the title for the passage?