Be Afraid: Google develops AI brain which can teach and think for itself
Be Afraid: Google develops AI brain which can teach and
think for itself
Google has developed AI which can teach itself
By SEAN MARTIN 16:30, Thu, Oct 19, 2017 | UPDATED: 16:35,
Thu, Oct 19, 2017
As part of the global giant’s bid to create superior
artificial intelligence (AI) the global giant’s London-based DeepMind team has
created an AI machine that is able to teach itself and figure out rules.
Google researchers set their AI protégé the task of
learning and perfecting the Chinese game of Go without human interference.
And the AI computer, known as AlphaGo Zero, not only
taught itself the game but became increasingly unbeatable.
Previously AlphaGo Zero beat the world masters of the
game of Go.
However, the latest development saw AlphaGo Zero tasked
with learning the game from a previous version, known simply as AlphaGo, which
had learned from humans.
AlphaGo Zero was given nothing but a blank score card and
the rules and then had to learn from the original program.
Within 72 hours, the newest version had completely
mastered the game and beaten its predecessor 100 times to zero.
For context, the older versions had beaten world
champions in Go, so Google believes that the latest program is the strongest
player in the history of Go.
A blog on the DeepMind website reads: “Previous versions
of AlphaGo initially trained on thousands of human amateur and professional
games to learn how to play Go.
“AlphaGo Zero skips this step and learns to play simply
by playing games against itself, starting from completely random play. In doing
so, it quickly surpassed human level of play”.
AlphaGo Zero’s lead programmer, David Silver, said: “By
not using human data — by not using human expertise in any fashion — we’ve
actually removed the constraints of human knowledge.
“It’s therefore able to create knowledge itself from
first principles; from a blank slate. This enables it to be much more powerful
than previous versions.
“It started off playing very naively like a human
beginner, but over time it played games which were hard to differentiate from
human professionals.”
According to DeepMind co-founder Demis Hassabis, learning
Go is just the beginning, and in the future the program could be used to
further scientific research.
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He said: “A lot of the AlphaGo team are now moving onto
other projects to try and apply this technology to other domains.
"I hope these kind of algorithms will be routinely
working with us as scientific experts medical experts on advancing the
frontiers of science and medicine – that’s what I hope.”
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