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Google DeepMind - New Videos - Games Lords

Inside Google's DeepMind Project: How AI Is Learning on Its Own | Max Tegmark

Channel: Big Think & Total View: 54014


Add Date: October 22, 2017, 8:06 am & Duration: 00:04:09


Likes: 1530 | Dislike: 88


Tags:

Big Think, BigThink, BigThink.com, Education, Educational, Lifelong Learning, EDU, artificial intelligence, google, deepmind, computer learning, skynet, breakout

Artificial Intelligence is already outsmarting us at '80s computer games by finding ways to beat games that developers didn't even know were there. Just wait until it figures out how to beat us in ways that matter.

Read more at BigThink.com: http://bigthink.com/videos/max-tegmark-what-it-will-take-for-ai-to-surpass-human-intelligence

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Max Tegmark: I define intelligence simply as how good something is at accomplishing complex goals.

Human intelligence today is very different from machine intelligence today in multiple ways. First of all, machine intelligence in the past used to be just an always inferior to human intelligence.

Gradually machine intelligence got better than human intelligence in certain very, very narrow areas, like multiplying numbers fast like pocket calculators or remembering large amounts of data really fast.

What we’re seeing now is that machine intelligence is spreading out a little bit from those narrow peaks and getting a bit broader. We still have nothing that is as broad as human intelligence, where a human child can learn to get...

Trained and untrained agents play StarCraft II full 1vs1 game

Channel: DeepMind & Total View: 73018


Add Date: August 10, 2017, 2:18 am & Duration: 00:00:26


Likes: | Dislike:


An early-stage training agent (left) fails to keep its workers mining, a task that humans find trivial. After training (right), the agent performs more meaningful actions.

Google's DeepMind AI just taught itself to walkGoogle's DeepMind AI just taught itself to walk
00:01:51July 12, 2017, 10:01 am
Google's DeepMind AI just taught itself to walk

Channel: Tech Insider & Total View: 4681838


Add Date: July 12, 2017, 10:01 am & Duration: 00:01:51


Likes: 116327 | Dislike: 2516


Tags:

Tech Insider, Tech, Science, Innovation, Digital culture, Design, Technology

Google's artificial intelligence company, DeepMind, has developed an AI that has managed to learn how to walk, run, jump, and climb without any prior guidance. The result is as impressive as it is goofy.

Read more: http://www.businessinsider.com/sai

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Artificial General Intelligence AGI Games Are a Microcosm of Real World Google DeepMind

Channel: 10X & Total View: 156


Add Date: May 12, 2017, 9:34 am & Duration: 00:25:04


Likes: 2 | Dislike: 0


Artificial General Intelligence AGI Games Are a Microcosm of Real World Google DeepMind

Artificial General Intelligence(AGI): Games Are a Microcosm of Real World (Google DeepMind

Channel: Kyle Hoey & Total View: 27


Add Date: May 11, 2017, 12:07 am & Duration: 00:47:22


Likes: 1 | Dislike: 0


Tags:

Artificial, General, Intelligence, AGI, Games, Are, Microcosm, Real, World, games, Purpose, Learning, Algorithm, Artificial Intelligence, Deep learning

Games Are a Microcosm of Real World. and Life is a Game. Through playing games, DeepMind is building Artificial General Intelligence(AGI) and General .

Beauty, persoanlized!

Dr. Demis Hassabis is the Co-Founder and CEO of DeepMind, the world's leading General Artificial Intelligence (AI) company, which was acquired by Google in .

What Happens If We Give A.I. The Ability To Remember Everything?

Channel: Seeker & Total View: 175458


Add Date: April 12, 2017, 9:00 am & Duration: 00:03:39


Likes: 5137 | Dislike: 147


Tags:

current events, Science, artificial intelligence, deepmind, machine learning, Neural networks, deep learning, engineering, technology, robots, Google AI, Atari, AI playing video games, robot, video games, learn, memory, when will AI take over, turing test, artificial, intelligence, robots smarter than people, killer robots, Seeker, seeker daily, seeker stories, science, dnews, education, discovery news, c-Video, c-Tech, c-Artificial Intelligence, c-Robotics

Google's DeepMind AI has a memory and is using it to play video games! What does this mean for the future of artificial intelligence?

Why You Shouldn't Fear Artificial Intelligence - https://youtu.be/uEWGjQ0nTm4
Sign Up For The Seeker Newsletter Here - http://bit.ly/1UO1PxI

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Read More:
Artificial Intelligence Goes to the Arcade
http://www.newyorker.com/tech/elements/deepmind-artificial-intelligence-video-games
"Then something happens. By the three hundredth game, the A.I. has stopped missing the ball. The auditorium begins to buzz. Demis Hassabis, the program's creator, advances to the next clip in his video presentation. The A.I. uses four quick rebounds to drill a hole through the left-hand side of the wall above it. Then it executes a killer bank shot, driving the ball into the hole and through to the other side, where it ricochets back and forth, destroying the entire wall from within."

DeepMind adds memory to its AI system to tackle multiple Atari games

A.I. vs A.I. - Will They Fight or Cooperate?A.I. vs A.I. - Will They Fight or Cooperate?
00:02:35February 14, 2017, 12:09 pm
A.I. vs A.I. - Will They Fight or Cooperate?

Channel: I'm from FUTURE & Total View: 1060125


Add Date: February 14, 2017, 12:09 pm & Duration: 00:02:35


Likes: 7084 | Dislike: 2091


Tags:

Neural Nets, Artificial Neural Network, machine learning, deep learning, data science, big data, artificial general intelligence, tensorflow, scikit-learn

Google DeepMind pits Artificial Intelligence against Artificial Intelligence into 2 games to see if they fight or cooperate

Game 1: Gathering gameplay

Two A.I. players are collecting apples(green)

They may zap each other with a laser beam to temporarily remove another from the game


Conclusion:

when apples were in plentiful supply - They(Players) didn’t zap each other

But, when stocks dwindled - the amount of zapping increased
And the cleverer AI - zaps more aggressively


Game 2: Wolfpack gameplay

(Red) wolves chase the blue dot while avoiding (grey) obstacles.G

Conclusion

The cleverer the AI player, the more likely it was to cooperate with other players.
Because learning to work with the other player to track and herd the prey requires more computational power

Google AI Wins 50 Straight Games Against World's Best Go Players

Channel: United News International & Total View: 377


Add Date: January 5, 2017, 3:46 pm & Duration: 00:01:00


Likes: 2 | Dislike: 0


Tags:

google, artificial intelligence, deepmind, board game, chinese, china, south korean, demis hassabis, ke jie, lee sedol, gaming, _yt_sciencetech

AlphaGo, an artificial intelligence program developed by Google's Deepmind, wins 50 straight games against the world's greatest Go players

Google's AI continues to crush humans board gamesGoogle's AI continues to crush humans board games
00:00:43January 5, 2017, 2:51 pm
Google's AI continues to crush humans board games

Channel: Wochit Tech & Total View: 123


Add Date: January 5, 2017, 2:51 pm & Duration: 00:00:43


Likes: 1 | Dislike: 1


Tags:

Human, Demis Hassabis, Google DeepMind, Google, Artificial intelligence, AlphaGo, Alphago, Go Community, Machine Learning, Go Software, Game, Computer Go, Ke Jie, gaming, board games, online games, Alpha Go

AlphaGo continues its reign of board game domination. The AI program developed by DeepMind, a Google-owned artificial intelligence company based in the UK, has been secretly playing and beating some of the world's best Go players online. In total, AlphaGo won 50 out of the 51 online games it played, with one game being a draw due to an internet connection time out. DeepMind founder Demis Hassabis said about AlphaGo, "We're excited by the results," and " also by what we and the Go community can learn from some of the innovative and successful moves played by the new version of AlphaGo." AlphaGo looks to become the teacher.
https://www.cnet.com/news/googles-ai-continues-to-crush-humans-at-ancient-game-go/#ftag=CAD590a51e
http://www.wochit.com

This video was produced by YT Wochit Tech using http://wochit.com

How Google DeepMind conquered the game of Go by Roy van Rijn

Channel: Devoxx & Total View: 19327


Add Date: November 10, 2016, 12:16 am & Duration: 00:52:56


Likes: 196 | Dislike: 16


Tags:

DevoxxBE2016

Google's AlphaGo is an extraordinary breakthrough for Artificial Intelligence. The game of 19x19 Go has 1.74×10^172 unique positions and is about a 'googol' times harder to calculate than chess. Experts thought it would take at least another decade before AI would be able to beat the best human players. So how did Google tackle this problem? What algorithms did they use and how do they work?

Roy van Rijn is a Software Craftsman at JPoint. He worked on miscellaneous projects and has given talks at Devoxx BE, Devoxx UK, Devoxx PL, Joy of Coding, J-Fall and J-Spring. He regularly gives trainings on various topics, including Spring, Software Architecture, Testing and Agile/Lean. He's also a blogger (http://www.royvanrijn.com) and you can follow him on Twitter (@royvanrijn).

[FFR-8486]

Google’s DeepMind Attacks Starcraft II NextGoogle’s DeepMind Attacks Starcraft II Next
00:02:00November 9, 2016, 2:30 pm
Google’s DeepMind Attacks Starcraft II Next

Channel: Esports in a Nutshell & Total View: 66340


Add Date: November 9, 2016, 2:30 pm & Duration: 00:02:00


Likes: 250 | Dislike: 262


Tags:

Mark Register, Esports News, Esports, DeepMind Starcraft, Google Deepmind, AI Esports

Blizzard and Google begin collaboration on using DeepMind to create an AI Starcraft II bot that will eventually be able to beat the best Starcraft players in the world using machine learning, as it has with so many games including most recently with beating the top Go player in the world.
A big wrench in the system includes the fog of war, not allowing the computer to know what the other player is doing without scouting.
Using inputs like the map, minimap, and others Deepmind will initially learn from watching years of top tier gameplay footage from Starcraft tournaments then move on to live human opponents.
In June I predicted the following “When will AI be able to learn how to play Esports games and school us all? In 5 Years. In the last few months Google DeepMind beats the top Go boardgame player in the world and learns curiosity and reward to complete the video game Montezuma’s Revenge. There are more variables in Esports titles than most of the simple games being played right now by DeepMind. Hearthstone could be the lowest hanging fruit and could be mastered in a year or two if focused on today given you plug in all the cards abilities and run the scenarios. A MOBA game like League of Legends will take much longer, there are so many variables that in...

Demis Hassabis, Google DeepMind Artificial Intelligence and the Future

Channel: Ronnie Harrington & Total View: 4059


Add Date: October 28, 2016, 8:14 am & Duration: 01:32:34


Likes: 21 | Dislike: 1


Tags:

DeepMind, Deep Learning, Singularity, Transhumanism

Mar 11, 2016 AlphaGo, a computer program developed by Google DeepMind in London to play the traditional Chinese board game Go, had five matches .

Watch the founder of Google DeepMind's Demis Hassabis' lecture about the future and capabilities of artificial intelligence. This video was filmed by IET TV.

Artificial Intelligence and the Future with Demis Hassabis, Co-founder and CEO of DeepMind. How far can AI really take us? In this special event at the RSA, .



Dr. Demis Hassabis is the Co-Founder and CEO of DeepMind, the world's leading General Artificial Intelligence (AI) company, which was acquired by Google in .

#VivaTech 2016: “Games are a microcosm of real-world problems"

Channel: Viva Technology Paris & Total View: 3224


Add Date: July 20, 2016, 6:24 am & Duration: 00:25:04


Likes: 59 | Dislike: 0


Tags:

vivatech, vivatechnology, Paris, 1 july, 1er juillet, main stage, startup, open innovation, google, deepming, alphago, demis hassabis, artificial intelligence, machine learning

On stage at VivaTechnology Paris' first edition, Demis Hassabis, Co-Founder & CEO, Google DeepMind, discusses his vision for Artificial Intelligence and Machine Learning.
Interviewer: David Rowan, editor-in-chief, WIRED UK

Google's Deep Mind Explained! - Self Learning A.I.

Channel: ColdFusion & Total View: 2217063


Add Date: May 1, 2016, 11:02 pm & Duration: 00:13:45


Likes: 47685 | Dislike: 1174


Tags:

Coldfusion, Dagogo, Altraide, Technology, Apple, Google, Samsung, Facebook, Tesla, Deepmind, Artificial intelligence, Demis, Hassabis

Subscribe here: https://goo.gl/9FS8uF
Become a Patreon!: https://www.patreon.com/ColdFusion_TV
Visual animal AI: https://www.youtube.com/watch?v=DgPaCWJL7XI

Hi, welcome to ColdFusion (formally known as ColdfusTion).
Experience the cutting edge of the world around us in a fun relaxed atmosphere.

Sources:

Why AlphaGo is NOT an "Expert System": https://googleblog.blogspot.com.au/2016/01/alphago-machine-learning-game-go.html

“Inside DeepMind” Nature video:
https://www.youtube.com/watch?v=xN1d3qHMIEQ

“AlphaGo and the future of Artificial Intelligence” BBC Newsnight: https://www.youtube.com/watch?v=53YLZBSS0cc

http://www.nature.com/nature/journal/v518/n7540/full/nature14236.html

http://www.ft.com/cms/s/2/063c1176-d29a-11e5-969e-9d801cf5e15b.html

http://www.nature.com/nature/journal/v529/n7587/full/nature16961.html#tables

https://www.technologyreview.com/s/533741/best-of-2014-googles-secretive-deepmind-startup-unveils-a-neural-turing-machine/

https://medium.com/the-physics-arxiv-blog/the-last-ai-breakthrough-deepmind-made-before-google-bought-it-for-400m-7952031ee5e1

https://www.deepmind.com/

TRT World - World in Focus: AlphaGo: Possibilities beyond a board game

Channel: TRT World & Total View: 657


Add Date: March 19, 2016, 12:58 pm & Duration: 00:04:53


Likes: 15 | Dislike: 0


Tags:

google, AlphaGo, Google DeepMind, Lee Sedol, trtworld, trt world

Machine over human
Professional Go player Lee Sedol said he believed humans still have a chance. That was right after he played the last of a five game championship on March 15 against AlphaGo, the artificial intelligence designed by Google DeepMind. It was a resounding loss. Lee had won only one game. Nowhere near enough to defeat the AI but perhaps enough to keep humanity’s dignity intact. AlphaGo took only the first 3 games to secure victory...while Lee managed to pinch a solitary win in the 4th. After the first match, Google DeepMind’s CEO and co-founder Demis Hassabis tweeted:#AlphaGo WINS!!!! We landed it on the moon. So proud of the team!! Respect to the amazing Lee Sedol too. While Sedol, who holds the highest professional rank of 9-dan at Go, couldn’t hide his surprise. Before the AlphaGo-Sedol match, British Go Association’s Toby Manning told Nature magazine:

AlphaGo is, and isn’t, the first
Google DeepMind’s AlphaGo isn’t the first AI that’s defeated a human opponent in a game of wits. IBM’s Deep Blue did have the power of calculation on its side in a game that’s simpler than Go. It was able to go through all the possible moves at superhuman speeds. But the executives of Google Deepmind say AlphaGo faced a greater challenge due...

Match 5 15 Minute Summary - Google DeepMind Challenge Match 2016

Channel: DeepMind & Total View: 75559


Add Date: March 18, 2016, 7:16 am & Duration: 00:15:14


Likes: 965 | Dislike: 12


15 Minute Summary by Michael Redmond 9 dan professional and Chris Garlock on today's nail-biting fifth and final match between DeepMind's program AlphaGo take on the legendary Lee Sedol (9-dan pro), the top Go player of the past decade, in a $1M 5-game challenge match in Seoul.

In October 2015, AlphaGo became the first computer program ever to beat a professional Go player by winning 5-0 against the reigning 3-times European Champion Fan Hui (2-dan pro). That work was featured in a front cover article in the science journal Nature in January 2016.

Match 5 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo

Channel: DeepMind & Total View: 1014664


Add Date: March 15, 2016, 4:18 am & Duration: 07:11:40


Likes: 4629 | Dislike: 139


Watch DeepMind's program AlphaGo take on the legendary Lee Sedol (9-dan pro), the top Go player of the past decade, in a $1M 5-game challenge match in Seoul. This is the livestream for Match 5 to be played on: 15th March 13:00 KST (local), 04:00 GMT; note for US viewers this is the day before on: 14th March 21:00 PT, 00:00 ET.

In October 2015, AlphaGo became the first computer program ever to beat a professional Go player by winning 5-0 against the reigning 3-times European Champion Fan Hui (2-dan pro). That work was featured in a front cover article in the science journal Nature in January 2016.

Match commentary by Michael Redmond (9-dan pro) and Chris Garlock.

Google DeepMind Challenge Match 5 AlphaGo vs Lee Sedol

Channel: Go Game Videos & Total View: 7953


Add Date: March 15, 2016, 2:58 am & Duration: 00:19:00


Likes: | Dislike:


Tags:

囲碁, 围棋, 圍棋, 바둑, weiqi, igo, baduk

Black: Lee Sedol (9P)
White: AlphaGo
Result: W+R
2016.03.14

Match 4 15 Minute Summary - Google DeepMind Challenge Match 2016

Channel: DeepMind & Total View: 178252


Add Date: March 13, 2016, 6:12 pm & Duration: 00:15:14


Likes: 1770 | Dislike: 29


15 Minute Summary by Michael Redmond 9 dan professional and Chris Garlock on today's amazing fourth match between DeepMind's program AlphaGo take on the legendary Lee Sedol (9-dan pro), the top Go player of the past decade, in a $1M 5-game challenge match in Seoul.

In October 2015, AlphaGo became the first computer program ever to beat a professional Go player by winning 5-0 against the reigning 3-times European Champion Fan Hui (2-dan pro). That work was featured in a front cover article in the science journal Nature in January 2016.

Match 4 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo

Channel: DeepMind & Total View: 1453425


Add Date: March 13, 2016, 3:19 am & Duration: 06:17:57


Likes: 8200 | Dislike: 219


Watch DeepMind's program AlphaGo take on the legendary Lee Sedol (9-dan pro), the top Go player of the past decade, in a $1M 5-game challenge match in Seoul. This is the livestream for Match 4 to be played on: 13th March 13:00 KST (local), 04:00 GMT; note for US viewers this is the day before on: 12th March 20:00 PT, 23:00 ET.

In October 2015, AlphaGo became the first computer program ever to beat a professional Go player by winning 5-0 against the reigning 3-times European Champion Fan Hui (2-dan pro). That work was featured in a front cover article in the science journal Nature in January 2016.

Match commentary by Michael Redmond (9-dan pro) and Chris Garlock.

Match 3 15 Minute Summary - Google DeepMind Challenge Match 2016

Channel: DeepMind & Total View: 91647


Add Date: March 12, 2016, 4:57 pm & Duration: 00:14:23


Likes: 750 | Dislike: 12


Tags:

Day3, Day2, press conf, 15min summary, 90s summary

15 minute Summary by Michael Redmond 9 dan professional and Chris Garlock on today's third match between DeepMind's program AlphaGo take on the legendary Lee Sedol (9-dan pro), the top Go player of the past decade, in a $1M 5-game challenge match in Seoul.

In October 2015, AlphaGo became the first computer program ever to beat a professional Go player by winning 5-0 against the reigning 3-times European Champion Fan Hui (2-dan pro). That work was featured in a front cover article in the science journal Nature in January 2016.

Match 3 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo

Channel: DeepMind & Total View: 1105837


Add Date: March 12, 2016, 2:01 am & Duration: 06:00:57


Likes: 5571 | Dislike: 219


Watch DeepMind's program AlphaGo take on the legendary Lee Sedol (9-dan pro), the top Go player of the past decade, in a $1M 5-game challenge match in Seoul. This is the livestream for Match 3 to be played on: 12th March 13:00 KST (local), 04:00 GMT; note for US viewers this is the day before on: 11th March 20:00 PT, 23:00 ET.

In October 2015, AlphaGo became the first computer program ever to beat a professional Go player by winning 5-0 against the reigning 3-times European Champion Fan Hui (2-dan pro). That work was featured in a front cover article in the science journal Nature in January 2016.

Match commentary by Michael Redmond (9-dan pro) and Chris Garlock.

Match 1 15 min Summary - Google DeepMind Challenge Match

Channel: DeepMind & Total View: 243166


Add Date: March 11, 2016, 1:00 am & Duration: 00:17:30


Likes: 1651 | Dislike: 69


15 minute Summary by Michael Redmond 9 dan professional and Chris Garlock on today's historic first match between DeepMind's program AlphaGo take on the legendary Lee Sedol (9-dan pro), the top Go player of the past decade, in a $1M 5-game challenge match in Seoul.

In October 2015, AlphaGo became the first computer program ever to beat a professional Go player by winning 5-0 against the reigning 3-times European Champion Fan Hui (2-dan pro). That work was featured in a front cover article in the science journal Nature in January 2016.

Match 2 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo

Channel: DeepMind & Total View: 1400124


Add Date: March 10, 2016, 2:07 am & Duration: 05:52:31


Likes: 7444 | Dislike: 238


Watch DeepMind's program AlphaGo take on the legendary Lee Sedol (9-dan pro), the top Go player of the past decade, in a $1M 5-game challenge match in Seoul. This is the livestream for Match 2 to be played on: 10th March 13:00 KST (local), 04:00 GMT; note for US viewers this is the day before on: 9th March 20:00 PT, 23:00 ET.

In October 2015, AlphaGo became the first computer program ever to beat a professional Go player by winning 5-0 against the reigning 3-times European Champion Fan Hui (2-dan pro). That work was featured in a front cover article in the science journal Nature in January 2016.

Match commentary by Michael Redmond (9-dan pro) and Chris Garlock.

Post Match Press Conference with Demis Hassabis and Lee Sedol

Match 1 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo

Channel: DeepMind & Total View: 2337289


Add Date: March 8, 2016, 11:59 pm & Duration: 03:55:07


Likes: 15343 | Dislike: 810


Watch DeepMind's program AlphaGo take on the legendary Lee Sedol (9-dan pro), the top Go player of the past decade, in a $1M 5-game challenge match in Seoul. This is the livestream for Match 1 to be played on: 9th March 13:00 KST (local), 04:00 GMT; note for US viewers this is the day before on: 8th March 20:00 PT, 23:00 ET.

In October 2015, AlphaGo became the first computer program ever to beat a professional Go player by winning 5-0 against the reigning 3-times European Champion Fan Hui (2-dan pro). That work was featured in a front cover article in the science journal Nature in January 2016.

Match commentary by Michael Redmond (9-dan pro) and Chris Garlock.

Google DeepMind: Ground-breaking AlphaGo masters the game of Go

Channel: DeepMind & Total View: 898775


Add Date: January 27, 2016, 10:02 am & Duration: 00:02:48


Likes: 3836 | Dislike: 83


In a paper published in Nature on 28th January 2016, we describe a new approach to computer Go. This is the first time ever that a computer program “AlphaGo” has defeated a human professional player.

The game of Go is widely viewed as an unsolved “grand challenge” for artificial intelligence. Games are a great testing ground for inventing smarter, more flexible algorithms that have the ability to tackle problems in ways similar to humans. The first classic game mastered by a computer was noughts and crosses (also known as tic-tac-toe) in 1952. But until now, one game has thwarted A.I. researchers: the ancient game of Go.

Despite decades of work, the strongest computer Go programs only played at the level of human amateurs. AlphaGo has won over 99% of games against the strongest other computer Go programs. It also defeated the human European champion by 5-0 in tournament games, a feat previously believed to be at least a decade away. In March 2016, AlphaGo will face its ultimate challenge: a 5-game challenge match in Seoul against the legendary Lee Sedol—the top Go player in the world over the past decade

This video tells the story so far...


With Demis Hassabis, Google DeepMind

Deep Blue photo credit courtesy...

The computer that mastered GoThe computer that mastered Go
00:07:52January 27, 2016, 9:58 am
The computer that mastered Go

Channel: nature video & Total View: 823129


Add Date: January 27, 2016, 9:58 am & Duration: 00:07:52


Likes: 5310 | Dislike: 120


Tags:

deepmind, google, artificial intelligence, robots, computers, deep blue, kasparov, demis hassabis, david silver, facebook, applications, nature, science, brain, neural net, learning, reinforcemengt learning

Go is an ancient Chinese board game, often viewed as the game computers could never play. Now researchers from Google-owned company DeepMind have proven the naysayers wrong, creating an artificial intelligence - called AlphaGo – which has beaten a professional Go player for the first time. In this Nature Video, we go behind the scenes to learn about the game, the programme and what this means for the future of AI.

Read the original research paper at https://www.nature.com/nature/journal/v529/n7587/full/nature16961.html

Google DeepMind's Deep Q-Learning & Superhuman Atari Gameplays | Two Minute Papers #27

Channel: Two Minute Papers & Total View: 30294


Add Date: November 22, 2015, 5:19 am & Duration: 00:03:50


Likes: 531 | Dislike: 11


Tags:

two minute papers, deep learning, deepmind, google deepmind, reinforcement learning, artificial intelligence, artificial neural network, neural network, deep neural network, deep q-learning, q-learning, deep q learning, deep reinforcement learning, Human-level control through deep reinforcement learning, atari breakout, ai playing breakout, ai playing atari, what is deep learning, how deep learning works, deepmind atari, deep learning explained, alphago, deepmind alphago

Google DeepMind implemented an artificial intelligence program using deep reinforcement learning that plays Atari games and improves itself to a superhuman level. The technique is called deep Q-learning, it uses a combination of deep neural networks and reinforcement learning, and it is capable of playing many Atari games as good or better than humans. After presenting their initial results with the algorithm, Google almost immediately acquired the company for several hundred million dollars, hence the name Google DeepMind. I am sure that this is one of the biggest triumphs of deep learning, especially given the fact that now the first few successful experiments for 3D games are out there!

________________________

The Nature paper "Human-level control through deep reinforcement learning" is available here:
http://www.nature.com/nature/journal/v518/n7540/full/nature14236.html
http://www.cs.swarthmore.edu/~meeden/cs63/s15/nature15b.pdf

The code is available here:
https://sites.google.com/a/deepmind.com/dqn/

Ilya Kuzovkin's fork with visualization:
https://github.com/kuz/DeepMind-Atari-Deep-Q-Learner

This configuration file will run Ilya Kuzovkin's version with less than 1GB of VRAM:

Google DeepMind Artari Plays PacmanGoogle DeepMind Artari Plays Pacman
00:03:56August 2, 2015, 10:31 pm
Google DeepMind Artari Plays Pacman

Channel: PhyXs Vision & Total View: 72988


Add Date: August 2, 2015, 10:31 pm & Duration: 00:03:56


Likes: 93 | Dislike: 51


Tags:

Pac-Man (Video Game), Google (Award Winner), DeepMind Technologies, Software (Industry), Artificial Intelligence (Industry), DeepMind, Machine Learning

Hi, I am in the process of training the DQN to learn playing Pacman,this screen cast was taken when at 5 million steps. It's not satisfying any way, but we can see a bit from the video that the agent is really learning. I will let the training continue, it may finally surprise us at some time.
I use Geforce 760(4G version), it can get 3-4 million steps each day, if I could afford a nicer GPU, it's can be done in couple of days.

Breakout | DeepMind | WIREDBreakout | DeepMind | WIRED
00:01:18June 22, 2015, 9:04 am
Breakout | DeepMind | WIRED

Channel: WIRED UK & Total View: 65881


Add Date: June 22, 2015, 9:04 am & Duration: 00:01:18


Likes: 115 | Dislike: 0


Tags:

deepmind, google, deepmind technologies, artificial intelligence, deep learning, technology (industry), hassabis, demis, breakout, games, video game (industry), coldfusion, 15min summary, 90s summary, rts, artificial, intelligence, royal television society, google (award winner), Wired uk, wired, wired magazine, wired video, David Rowan, pop culture, science, politics, business, conde nast, health, technology

In this 'Pong'-like game, the DeepMind algorithm needs to hit a ball through a rainbow-coloured brick wall.
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Read the full WIRED story here: http://www.wired.co.uk/magazine/archive/2015/07/features/deepmind

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Breakout | DeepMind | WIRED
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Demis Hassabis, CEO, DeepMind Technologies - The Theory of Everything

Channel: ZeitgeistMinds & Total View: 239321


Add Date: May 12, 2015, 1:12 pm & Duration: 00:16:41


Likes: 3236 | Dislike: 49


Demis Hassabis, CEO, DeepMind Technologies - The Theory of Everything

Google DeepMind's Deep Q-learning playing Atari Breakout

Channel: Two Minute Papers & Total View: 736007


Add Date: March 7, 2015, 12:35 pm & Duration: 00:01:43


Likes: 2239 | Dislike: 33


Tags:

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Google DeepMind created an artificial intelligence program using deep reinforcement learning that plays Atari games and improves itself to a superhuman level. It is capable of playing many Atari games and uses a combination of deep artificial neural networks and reinforcement learning. After presenting their initial results with the algorithm, Google almost immediately acquired the company for several hundred million dollars, hence the name Google DeepMind. Please enjoy the footage and let me know if you have any questions regarding deep learning!

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Recommended for you:
1. How DeepMind's AlphaGo Defeated Lee Sedol - https://www.youtube.com/watch?v=a-ovvd_ZrmA&index=58&list=PLujxSBD-JXgnqDD1n-V30pKtp6Q886x7e
2. How DeepMind Conquered Go With Deep Learning (AlphaGo) - https://www.youtube.com/watch?v=IFmj5M5Q5jg&index=42&list=PLujxSBD-JXgnqDD1n-V30pKtp6Q886x7e
3. Google DeepMind's Deep Q-Learning & Superhuman Atari Gameplays -
https://www.youtube.com/watch?v=Ih8EfvOzBOY&index=14&list=PLujxSBD-JXgnqDD1n-V30pKtp6Q886x7e

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- Original DeepMind code:...

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