DeepMind’s artificial intelligence program AlphaZero is now showing signs of human-like intuition and creativity, in what developers have hailed as ‘turning point’ in history.
The advances in artificial intelligence are coming so fast now that you almost need an algorithm to help you understand the progress the algorithm are making now. Cashierless stores, implantable microchips, driverless cars, drones delivering packages, it’s quite overwhelming.
“And he had power to give life unto the image of the beast, that the image of the beast should both speak, and cause that as many as would not worship the image of the beast should be killed.” Revelation 13:15 (KJV)
AlphaZero, a product from Google’s DeepMind division is smart. Really, really smart. It took AlphaZero just 4 hours of playing chess to beat the world’s best computer chess program. But the really frightening part is that AlphaZero was not programmed with any rules or strategies on chess playing. It had no database on how to play chess. It had to learning everything by doing it, analyzing what happened, then readjusting on the fly. In short, it had to think rationally, like a human being. And it did.
AlphaZero learned so well and so fast, that all it took was 4 measly hours to destroy the world’s most advanced computer chess game. What does the future hold for AI? Well, it doesn’t take an algorithm to realize that if AI can equal human thinking, it can absolutely surpass it. When that day comes, who then will be in charge? And that, my friends, is the scariest thought of them all.
DeepMind’s AlphaZero now showing human-like intuition in historical ‘turning point’ for AI
FROM YAHOO NEWS: The computer system amazed the world last year when it mastered the game of chess from scratch within just four hours, despite not being programmed how to win.
But now, after a year of testing and analysis by chess grandmasters, the machine has developed a new style of play unlike anything ever seen before, suggesting the programme is now improvising like a human.
Unlike the world’s best chess machine – Stockfish – which calculates millions of possible outcomes as it plays, AlphaZero learns from its past successes and failures, making its moves based on, a ‘nebulous sense that it is all going to work out in the long run,’ according to experts at DeepMind.
When AlphaZero was pitted against Stockfish in 1,000 games, it lost just six, winning convincingly 155 times, and drawing the remaining bouts.
Yet it was the way that it played that has amazed developers. While chess computers predominately like to hold on to their pieces, AlphaZero readily sacrificed its soldiers for a better position in the skirmish.
Speaking to The Telegraph, Prof David Silver, who leads the reinforcement learning research group at DeepMind said: “It’s got a very subtle sense of intuition which helps it balance out all the different factors.
“It’s got a neural network with millions of different tunable parameters, each learning its own rules of what is good in chess, and when you put them all together you have something that expresses, in quite a brain-like way, our human ability to glance at a position and say ‘ah ha this is the right thing to do’.
“My personal belief is that we’ve seen something of turning point where we’re starting to understand that many abilities, like intuition and creativity, that we previously thought were in the domain only of the human mind, are actually accessible to machine intelligence as well. And I think that’s a really exciting moment in history.”
AlphaZero started as a ‘tabula rasa’ or blank slate system, programmed with only the basic rules of chess and learned to win by playing millions of games against itself in a process of trial and error known as reinforcement learning.
It is the same way the human brain learns, adjusting tactics based on a previous win or loss, which allows it to search just 60 thousand positions per second, compared to the roughly 60 million of Stockfish. READ MORE
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