AlphaGo, the artificial intelligent Go machine made by Google,
beats Lee Se-dol again, putting Koreans in fear and anger toward
artificial intelligent while U.S.people are talking about what happened
in Chicago during Trump's rally. Still, I couldn't find the single article
regarding AlphaGo in CNN, meaning that many people are not aware of Go game,
and it's less significant than Koreans are thinking.
beats Lee Se-dol again, putting Koreans in fear and anger toward
artificial intelligent while U.S.people are talking about what happened
in Chicago during Trump's rally. Still, I couldn't find the single article
regarding AlphaGo in CNN, meaning that many people are not aware of Go game,
and it's less significant than Koreans are thinking.
Again, there's nothing new in the algorithm of which AlphaGo have made used.
All algorithms were used in Deep Blue, IBM machine which beat Chess champions
several times. What I was impressed during the Go games was Google utilized more
than 1,000 virtual machines. Many Koreans have overlooked the importance of this technology, which is a basic ingredient of this huge victory. Just several years ago, the
maximum number of nodes that parallel distributed processing can use was just more
than 50. The coordination loss came from coordinating each machine was significant,
so that it was nearly impossible to use more than 50 machines at once.
In short, the more machine we use, the more loss we should bear in computing power.
It likens to the situation where it is easy to command 5 soldiers
while it is much more challenging to command 100 soldiers in the real battle field.
Google made it. That's a secret recipe,
which allows AlphaGo to calculate 19x19 plates in 90 seconds.
All algorithms were used in Deep Blue, IBM machine which beat Chess champions
several times. What I was impressed during the Go games was Google utilized more
than 1,000 virtual machines. Many Koreans have overlooked the importance of this technology, which is a basic ingredient of this huge victory. Just several years ago, the
maximum number of nodes that parallel distributed processing can use was just more
than 50. The coordination loss came from coordinating each machine was significant,
so that it was nearly impossible to use more than 50 machines at once.
In short, the more machine we use, the more loss we should bear in computing power.
It likens to the situation where it is easy to command 5 soldiers
while it is much more challenging to command 100 soldiers in the real battle field.
Google made it. That's a secret recipe,
which allows AlphaGo to calculate 19x19 plates in 90 seconds.
AlphaGo takes only into account "winning probability" of current state, and
what would be the next movement to maximize the winning probability.
It doesn't know Go's rule. That's the only algorithm. No intuition. No magic.
Just statistics and super fast calculation. That's all. Please, stop overreacting to this loss.
It’s an almost expected outcome.
what would be the next movement to maximize the winning probability.
It doesn't know Go's rule. That's the only algorithm. No intuition. No magic.
Just statistics and super fast calculation. That's all. Please, stop overreacting to this loss.
It’s an almost expected outcome.
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