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#161
Yuli Ban

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Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

The game of chess is the most widely-studied domain in the history of artificial intelligence. The strongest programs are based on a combination of sophisticated search techniques, domain-specific adaptations, and handcrafted evaluation functions that have been refined by human experts over several decades. In contrast, the AlphaGo Zero program recently achieved superhuman performance in the game of Go, by tabula rasa reinforcement learning from games of self-play. In this paper, we generalise this approach into a single AlphaZero algorithm that can achieve, tabula rasa, superhuman performance in many challenging domains. Starting from random play, and given no domain knowledge except the game rules, AlphaZero achieved within 24 hours a superhuman level of play in the games of chess and shogi (Japanese chess) as well as Go, and convincingly defeated a world-champion program in each case.


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#162
Jakob

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Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

The game of chess is the most widely-studied domain in the history of artificial intelligence. The strongest programs are based on a combination of sophisticated search techniques, domain-specific adaptations, and handcrafted evaluation functions that have been refined by human experts over several decades. In contrast, the AlphaGo Zero program recently achieved superhuman performance in the game of Go, by tabula rasa reinforcement learning from games of self-play. In this paper, we generalise this approach into a single AlphaZero algorithm that can achieve, tabula rasa, superhuman performance in many challenging domains. Starting from random play, and given no domain knowledge except the game rules, AlphaZero achieved within 24 hours a superhuman level of play in the games of chess and shogi (Japanese chess) as well as Go, and convincingly defeated a world-champion program in each case.

 

I'll be impressed when DeepMind can play quantum four-dimensional Taikyoku shogi like Trump.



#163
Yuli Ban

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How do you know it can't? They're not gonna say anything that chases away investors, after all!


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#164
Jakob

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How do you know it can't? They're not gonna say anything that chases away investors, after all!

Nobody plays quantum 4D taikyoku shogi like Trump. His game is so great. You won't believe how great he is at quantum 4D taikyoku shogi. Believe me, he's the best player, okay? Even the failing New York Times--their ratings are so terrible, by the way--even they admit it. We have all the best games. Such beautiful games.



#165
Yuli Ban

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And then AlphaZero brings out its personally owned Atlas and asks "So would you like to play a game, Mr. Trump?"


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#166
Yuli Ban

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AlphaZero AI beats champion chess program after teaching itself in four hours

AlphaZero, the game-playing AI created by Google sibling DeepMind, has beaten the world’s best chess-playing computer program, having taught itself how to play in under four hours.
The repurposed AI, which has repeatedly beaten the world’s best Go players as AlphaGo, has been generalised so that it can now learn other games. It took just four hours to learn the rules to chess before beating the world champion chess program, Stockfish 8, in a 100-game match up.

This one's a bit iffier, though. They handicapped Swordfish, and AlphaZero technically didn't train for just 4 hours.


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#167
Yuli Ban

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Alpha Zero’s “Alien” Chess Shows the Power, and the Peculiarity, of AI

The latest AI program developed by DeepMind is not only brilliant and remarkably flexible—it’s also quite weird.
DeepMind published a paper this week describing a game-playing program it developed that proved capable of mastering chess and the Japanese game Shoju, having already mastered the game of Go.
Demis Hassabis, the founder and CEO of DeepMind and an expert chess player himself, presented further details of the system, called Alpha Zero, at an AI conference in California on Thursday. The program often made moves that would seem unthinkable to a human chess player.
“It doesn’t play like a human, and it doesn’t play like a program,” Hassabis said at the Neural Information Processing Systems (NIPS) conference in Long Beach. “It plays in a third, almost alien, way.”


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#168
Yuli Ban

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DeepMind Proves Its AI System's General Purposefulness

The game of chess is the most widely-studied domain in the history of artificial intelligence. The strongest programs are based on a combination of sophisticated search techniques, domain-specific adaptations, and handcrafted evaluation functions that have been refined by human experts over several decades.

DeepMind's AlphaGo Zero program, by contrast, recently achieved superhuman performance in the game of Go, by tabula rasa reinforcement learning from games of self-play.
Now, in a new paper, researchers from the Google-owned company have shown that the algorithm could be generalized that can achieve, blank slate, superhuman performance across many challenging domains. The research authors, which include Demis Hassabis have been rapidly advancing their system since their historic win at the game of Go only last year.

Note, this isn't general AI. But this is purely what I've been labeling about for a while as "less-narrow" AI or "cluster" AI or "wide" AI.


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#169
Yuli Ban

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#170
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DeepMind's CEO told Prince Harry his AI lab now employs 700 staff

It’s really the biggest collection of brain power anywhere in the world on this topic

  • DeepMind's hiring frenzy is being fuelled by Google parent company Alphabet, which owns the business.
  • The company has over 400 PhDs among its ranks and staff from over 60 countries.
  • There is a well-documented war for AI talent among tech giants.

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#171
Yuli Ban

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The documentary about Google DeepMind's 'AlphaGo' algorithm is now available on Netflix

One of the greatest breakthroughs in the field of artificial intelligence was turned into a documentary called "AlphaGo" last year and the movie has just been released on Netflix.
"AlphaGo" is about an algorithm that learns how to play the ancient Chinese board game of Go to a superhuman level. The algorithm is built by a team of researchers in London that work for an AI lab called DeepMind, which was acquired by Google in 2014 for £400 million.


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#172
Yuli Ban

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DeepMind's Mustafa Suleyman: In 2018, AI will gain a moral compass

Humanity faces a wide range of challenges that are characterised by extreme complexity, from climate change to feeding and providing healthcare for an ever-expanding global population. Left unchecked, these phenomena have the potential to cause devastation on a previously untold scale. Fortunately, developments in AI could play an innovative role in helping us address these problems.
 
At the same time, the successful integration of AI technologies into our social and economic world creates its own challenges. They could either help overcome economic inequality or they could worsen it if the benefits are not distributed widely. They could shine a light on damaging human biases and help society address them, or entrench patterns of discrimination and perpetuate them. Getting things right requires serious research into the social consequences of AI and the creation of partnerships to ensure it works for the public good.


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#173
Yuli Ban

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Chessmasters praise AlphaZero AI games and says it has an aggressive playing style

Chess players have analyzed the games that AlphaZero played against the Stockfish program and found many innovative moves and tactics. Chessbase has an analysis that discusses the quality of its games and its playing style.
AlphaZero uses Monte Carlo tree search but has a combined policy and value network for evaluating moves. Previously AlphaGo had separate neural nets for policy and value.
There is a Stanford article that has a simplified tutorial on AlphaZero.
Some have noted that Stockfish had certain settings disabled when it played and lost to AlphaZero.
AlphaZero played a match against the latest and greatest version of Stockfish, and won by an incredible score of 64 : 36, and not only that, AlphaZero had zero losses (28 wins and 72 draws)!


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#174
Yuli Ban

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#175
Yuli Ban

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#176
Jakob

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DeepMind's Mustafa Suleyman: In 2018, AI will gain a moral compass

Humanity faces a wide range of challenges that are characterised by extreme complexity, from climate change to feeding and providing healthcare for an ever-expanding global population. Left unchecked, these phenomena have the potential to cause devastation on a previously untold scale. Fortunately, developments in AI could play an innovative role in helping us address these problems.
 
At the same time, the successful integration of AI technologies into our social and economic world creates its own challenges. They could either help overcome economic inequality or they could worsen it if the benefits are not distributed widely. They could shine a light on damaging human biases and help society address them, or entrench patterns of discrimination and perpetuate them. Getting things right requires serious research into the social consequences of AI and the creation of partnerships to ensure it works for the public good.

 

AI can't be moral now, it's only a sophisticated machine. When we have machines that can think and feel, we can talk about their morality.



#177
Jakob

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Also, speaking as someone who's taking Intro to AI right now, I don't see any moral compasses, just a bunch of stupid algorithms.



#178
tomasth

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If a regulation or legislation is a moral one , one can say that it has a moral compasses.

 

The stupid algorithms are not clever and an intelligent manifistation , and are not the best way do achive the aim ?

 

A bad algorithms for an aim can have more capabilities then a good algorithms for another aim , same way that cat can be intelligent cat and a human stupid or a legislation can be moral and a person immoral.



#179
Zaphod

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DeepMind's Mustafa Suleyman: In 2018, AI will gain a moral compass

Humanity faces a wide range of challenges that are characterised by extreme complexity, from climate change to feeding and providing healthcare for an ever-expanding global population. Left unchecked, these phenomena have the potential to cause devastation on a previously untold scale. Fortunately, developments in AI could play an innovative role in helping us address these problems.
 
At the same time, the successful integration of AI technologies into our social and economic world creates its own challenges. They could either help overcome economic inequality or they could worsen it if the benefits are not distributed widely. They could shine a light on damaging human biases and help society address them, or entrench patterns of discrimination and perpetuate them. Getting things right requires serious research into the social consequences of AI and the creation of partnerships to ensure it works for the public good.

 

AI can't be moral now, it's only a sophisticated machine. When we have machines that can think and feel, we can talk about their morality.

 

 

He's not talking about the AI themselves having an internal moral compass, but rather the research and outcomes of AI to have a moral direction.



#180
Yuli Ban

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Google's DeepMind now diagnoses eye disease better than human doctors

Google’s DeepMind has potentially made the first significant application of Artificial Intelligence (A.I.) in healthcare, after developing AI to diagnose disease by analysing medical images. 
According to the Financial Times, the company has crunched data from thousands of retinal scans to train an A.I. algorithm to detect signs of eye disease more quickly and efficiently than human specialists. 
Findings were submitted to a medical journey after “promising signs” from a two-year partnership with the National Health Service and London’s Moorfields Eye Hospital. The technology could enter clinical trials in a few years if results pass a peer review by academics. 
Dominic King, clinical lead for DeepMind Health, explained, “In specific areas like medical imaging, you can see we’re going to make really tremendous progress in the next couple of years with artificial intelligence. Machine learning could have a very important role picking up things more sensitively and specifically than currently happens.”


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Also tagged with one or more of these keywords: DeepMind, deep learning, deep reinforcement learning, progressive neural network, artificial intelligence, AGI, differentiable neural, Google, RankBrain, artificial neural networks

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