Once AlphaGo won all three matches against the best player in the world back in May, Alphabet’s DeepMind said that the AI was retiring as the company explored bigger challenges. But it appears that it had just one more Go-related challenge to conquer …
The Future of Go Summit hosted by Google came to a close this weekend with DeepMind’s AlphaGo winning all of its matches, including the third and final match with Ke Jie. Following a string of victories, the AI is retiring from competitive play as DeepMind explores bigger challenges.
Ke Jie, widely regarded as the world’s best player of the Chinese game of Go, has lost the second of three games in a match against Google DeepMind’s AlphaGo AI. That’s despite the AI’s estimation that Ke Jie played his first 50 moves against AlphaGo as practically perfect, and the first 100 as the best that AlphaGo has ever faced. But still, it wasn’t enough…
Google DeepMind’s AlphaGo AI has a pretty good track record at the ancient Chinese game of Go. Now, the AI has defeated Ke Jie, who’s widely-regarded as the world’s best (human) Go player.
Even after beating the world’s best Go player last year, DeepMind is still working on improving AlphaGo. Over the past few days, a “new prototype version” of the AI has been playing in secret and winning against several dozen Go players online, according to DeepMind CEO Demis Hassabis.
These days, Google — as well as many other tech giants — is all about Artificial Intelligence. We’ve seen it shown off in many different shapes at its latest I/O conference, but perhaps one of the biggest achievements in the field was a little far from the consumer-world of Allo or the new Google assistant.
After the recent victory, in fact, it will be Google’s Deepmind team to be put again to the test at Go, this time against the world’s new number one player (via Engadget)…
Back when I was in high school, I remember our computer studies teacher telling us that a computer only does what it’s told to do, and so mistakes are not the machine’s, but rather the user’s. With neural networks and machine learning, that is no longer true. AlphaGo, DeepMind’s specialist Go-playing machine, has proved as much. AlphaGo has been programmed to learn from its mistakes, and can err all on its own.
The AI-powered system failed to recover from an error against Lee Sedol in their fourth game, and eventually lost. In the fifth game, however, it made a mistake and was able to win the series in seemingly dramatic fashion.
Google’s AlphaGo AI may have secured the five-game match with its third win yesterday, but that doesn’t mean the competition is over. As announced today (via Demis Hassabis, CEO of DeepMind), the second-best-in-the-world South Korean Go player Lee Sedol actually managed to score a victory against the Google AI in the fourth game…
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Demis Hassabis, DeepMind’s CEO and founder, today announced the historic news that its machine, AlphaGo, won its third game in a row versus 18-time Go world champion, Lee Sedol. With the third win under its belt, that’s the five-game match now sealed. A machine has officially beaten the world’s best player at a game which is widely considered to be very difficult to teach a machine.
Google’s AI system AlphaGo, part of its DeepMind project, has again beaten world champion Lee Sedol – and looks like it may be on track to take the title in the next game. Engadget reports Sedol saying that he was left speechless by his defeat.
“I’m quite speechless,” said Lee in the post-match conference. “It was a clear loss on my part. From the beginning there was no moment I thought I was leading.”
DeepMind CEO Demis Hassabis tweeted that AlphaGo “played some beautiful creative moves in this game” …
As was previously announced, Google’s DeepMind project, AlphaGo took on the world’s best Go player, Lee Sedol in the first of five matches yesterday. And it won. While its first victory against a different player was important, beating the 18-time world champion is another matter entirely. This is a momentous victory for AlphaGo, and for the machine learning industry as a whole.
