I came across this really interesting article about a program designed to beat computers at the Chinese game Go here. This breakthrough is reminiscent of IBM’s Deep Blue in the 1990’s, beating chess champion Gary Kasparov in a test of man vs computer.
Go is significantly harder for a computer to solve than chess, with approximately 10170 board configurations.
The program utilizes deep neural networks to determine the best possible move from a given position. After learning from millions of expert games, the program played against itself, learning to improve along the way.
This is pretty big for Google (who designed the program), machine learning, and technology in general. Read more about it here.
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"Kama ilivyoelezwa hapo juu, programu ya ""Kushinda Kompyuta katika Mchezo wa Kichina"" imeundwa kwa ajili ya kucheza mchezo wa Kichina ""Go Here.""" IBM ilishinda Deep Blue katika mashindano ya mchezo wa chess ya mwaka 1990 dhidi ya Gary Kasparov. Go ni ngumu zaidi kwa kompyuta kuamua kuliko mchezo wa chess, na ina takriban 10170 mipangilio ya ubao. Programu hutumia mitandao ya kina ya neva kuamua hatua bora iwezekanavyo kutoka nafasi fulani. Baada ya kujifunza kutoka kwa mamilioni ya michezo ya wataalamu, programu hiyo ilijipinga yenyewe, ikijifunza kuboresha njiani. Hii ni kubwa sana kwa Google (ambaye iliyoundwa programu), kujifunza mashine, na teknolojia kwa ujumla. Soma zaidi kuhusu hilo hapa. Rudi kwa kificho