Google's new artificial intelligence can defeat both humans and other AIs. Fortunately, the only battlefield where it fights and wins is the ancient board game Go.
Knowing only the basic rules of the game, AlphaGo Zero taught itself to beat those earlier versions of the program, which had studied the strategies of human masters as initial input.
"AlphaGo Zero doesn't use any human data whatsoever," explained lead researcher David Silver in video posted last week. "Instead what it has to do is learn by itself completely from self-play."
AlphaGo Zero did start from scratch with no experts guiding it. And it is much more efficient: it only uses a single computer and four of Google's custom TPU1 chips to play matches, compared to AlphaGo's several machines and 48 TPUs. Since Zero didn't rely on human gameplay, and a smaller number of matches, its Monte Carlo tree search is smaller. The self-play algorithm also combined both the value and policy neural networks into one, and was trained on 64 GPUs and 19 CPUs over a few days by playing nearly five million games against itself. In comparison, AlphaGo needed months of training and used 1,920 CPUs and 280 GPUs to beat Lee Sedol.
This ability to self-train without human input is a crucial step towards the dream of creating a general AI that can tackle any task. In the nearer-term, though, it could enable programs to take on scientific challenges such as protein folding or materials research, said DeepMind chief executive Demis Hassabis at a press briefing. "We're quite excited because we think this is now good enough to make some real progress on some real problems."
AI is what is important to those that wish to control the people of this world. The advancements they have made far surpass what they present to the public. Data/Metadata is he single most valuable thing on this planet.
Self learning algorithms, AI are nothing new, just rich company pouring money into something and then marketing it for brand image. Evil Google will stay evil no matter what.
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