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  • Those that tipped Professional Baduk Player and fellow human Lee Se-dol for victory over

  • AlphaGo earlier this week... may have underestimated Google's computer program.

  • Kim Ji-yeon explains why AlphaGo's victories are no fluke.

  • It seems as if Google's computer program AlphaGo has the capability to learn just like a human.

  • That's because it's based on an artificial intelligence program called "deep learning"...

  • an information processing technology that imitates human nerve cells.

  • But unlike humans, the program never ceases its continuous learning of Baduk, or Go...

  • not even for a second. AlphaGo is an improved version of previous

  • computer programs, which was only capable of preprogrammed moves.

  • "Deep learning is not a new concept in the IT world, but it only has become reality now

  • due to significant improvements in hardware including faster arithmetic abilities of CPUs,

  • faster internet connectivity, and widespread use of cloud technology... which allows thousands

  • of computers to come together to process and calculate the most optimal move."

  • AlphaGo is supposed to imitate how humans learn...but it may actually surpass human

  • intelligence in terms of higher learning capacity. AlphaGo practices Baduk some 3-thousand times

  • a day, a million times in a month. That would take a professional Baduk player

  • three games a day for a thousand years... to accomplish the same feat.

  • In fact, it continues to learn even while AlphaGo is playing against Professional Baduk

  • Player Lee Se-dol.

  • "The improved version of AI is on par with human intelligence, while earlier versions

  • were limited to certain features. In that sense, AlphaGo is an improved AI version that's

  • specializes in playing Baduk."

  • AlphaGo has been programmed to learn 160-thousand Baduk game sets and learned to play a million

  • Baduk game sets in a month on its own. Google's DeepMind, which developed AlphaGo,

  • says the ultimate goal for the program is to solve real world problems in the near future...

  • building on the learning process gained from playing Baduk.

  • Kim Ji-yeon, Arirang News.

Those that tipped Professional Baduk Player and fellow human Lee Se-dol for victory over

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