ilovebrits's Activity (2)

  • ilovebrits
    ilovebrits added a new comment in
    Computers are not believed to be as smart as humans because they lack creativity and intuition and cannot learn, think and understand like humans. At least, that's what the say until Google's AlphaGo computer algorithm beat 18-time world champion Lee Se-dol, 4 to 1 at the ancient Chinese game, Go. "Go" is a Chinese game similar to chess, it features a checkered grid and black and white game pieces called "stones." The two players take turns placing the stones on the intersections of a grid. Their aim is to cover as much of the grid as possible by sealing off areas and surrounding each other's stones. Once that happens, the opponent's stones are removed from the board. The player with the most stones remaining on the grid at the end is declared the winner. This game is challenging because it takes great skill in order to win. While experts worldwide are impressed at the algorithm's quick thinking powers, their opinions about it are mixed. Some like Tesla founder Elon Musk and Apple co-founder Steve Wozniak, view the technological advancement as dangerous. Others believe that we have nothing to worry about. They think that AlphaGo lacks compassion and is only able to process information on a game-by-game basis, which means unlike humans, it is unable to see the bigger picture.
    Over 8 years ago
  • ilovebrits
    ilovebritsliked a comment in Google's Computer Program Beats World Champion Lee Se-dol At Ancient Chinese Game "Go".
    A new app game was released by Google, it was called Alpha Go. People believe it is smarter than humans and is a computer. This game was inspired to be created from a 3000 year old game. On the app Alpha Go there are over 10761 ways you can win! This game is basically about skill because it comes out simple but is actually really complicated and you need the skill to understand. It isn't completely finished yet and does need to be fixed a lot, but it's a really exciting new way to test the human brain. It will definitely be something in the future that can help and it will be interesting to see who can understand it!
    Over 8 years ago

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