AlphaGo To AlphaZero: What DeepMind's Latest A.I. Is Capable Of

IBM’s Deep Mind creates a game learning system

DeepMind's AlphaZero now showing human-like intuition in historical 'turning point' for AI

Unlike the world's best chess machine - Stockfish - which calculates millions of possible outcomes as it plays, AlphaZero learns from its past successes and. Other abstract strategy games, such as shogi and Go, each significantly more hard than chess, have also come to be mastered by machine.

AlphaZero was revealed by the DeepMind Technologies in the research which was published on 6th of November. However, the algorithms that drive these AI systems are often constructed to exploit the properties of a single game and rely on "handcrafted" knowledge - strategies imbued by their human developers, according to the authors. The program stored what it learned from its searches and from playing test games in what's called a neural network, named that way because it replicates some features of how human neurons store learned information in layers.

The researchers have so far unleashed their creation only on Go, chess and Shogi, a Japanese form of chess.

Humans as of now have mostly that they will never be as good at chess as the robots, but now even the robots have to accept that they will never be as good just like the robots.

According to IEEE Spectrum: "That earlier system had itself made history by beating one of the world's best Go players, but it needed human help to get through a months-long course of improvement".

In other words, it is given the rules of the game, then creates its own strategies, unhinged from human biases and reinforced only by victory or defeat. As a result, AI researchers need to look to a new generation of games - multiplayer video games, for example - to provide the next set of challenges for AI systems.

That's something Theodore from the film Her might be able to understand.

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