Google Brain’s new super fast and highly accurate AI: the Mixture of Experts Layer.

Google Brain’s new super fast and highly accurate #AI: the Mixture of Experts Layer

  • Google Brain’s new super fast and highly accurate AI: the Mixture of Experts Layer.Conditional Training on unreasonable large networks.One of the big problems in Artificial Intelligence is the gigantic amount of GPUs (or computers) needed to train large networks.The training time of neural networks grows quadratically (think squared) in function of their size.
  • Therefore, we have to build giant neural networks to process the ton of data that corporations like Google Microsoft have.Well, that was the case until Google released their paper Mixture of Experts Layer.The Mixture of Experts Layer as shown in the original Paper.The rough concept is to keep multiple experts inside the network.
  • Each expert is itself a neural network.
  • This does look similar to the PathNet paper, however, in this case, we only have one layer of modules.You can think of experts as multiple humans specialized in different tasks.In front of those experts stands the Gating Network that chooses which experts to consult for a given data (named x in the figure).
  • The Gating Network also decides on output weights for each expert.The output of the MoE is then:ResultsIt works surprisingly well.Take for example machine translation from English to French:The MoE with experts shows higher accuracy (or lower perplexity) than the state of the art using only 16% of the training time.ConclusionThis technique lowers the training time while achieving better than state of the art accuracy.

One of the big problems in Artificial Intelligence is the gigantic amount of GPUs (or computers) needed to train large networks. The training time of neural networks grows quadratically (think…
Continue reading “Google Brain’s new super fast and highly accurate AI: the Mixture of Experts Layer.”

Google Brain’s new super fast and highly accurate AI: the Mixture of Experts Layer.

Google Brain’s new super fast and highly accurate #AI: the Mixture of Experts Layer

  • Google Brain’s new super fast and highly accurate AI: the Mixture of Experts Layer.Conditional Training on unreasonable large networks.One of the big problems in Artificial Intelligence is the gigantic amount of GPUs (or computers) needed to train large networks.The training time of neural networks grows quadratically (think squared) in function of their size.
  • Therefore, we have to build giant neural networks to process the ton of data that corporations like Google Microsoft have.Well, that was the case until Google released their paper Mixture of Experts Layer.The Mixture of Experts Layer as shown in the original Paper.The rough concept is to keep multiple experts inside the network.
  • Each expert is itself a neural network.
  • This does look similar to the PathNet paper, however, in this case, we only have one layer of modules.You can think of experts as multiple humans specialized in different tasks.In front of those experts stands the Gating Network that chooses which experts to consult for a given data (named x in the figure).
  • The Gating Network also decides on output weights for each expert.The output of the MoE is then:ResultsIt works surprisingly well.Take for example machine translation from English to French:The MoE with experts shows higher accuracy (or lower perplexity) than the state of the art using only 16% of the training time.ConclusionThis technique lowers the training time while achieving better than state of the art accuracy.

One of the big problems in Artificial Intelligence is the gigantic amount of GPUs (or computers) needed to train large networks. The training time of neural networks grows quadratically (think…
Continue reading “Google Brain’s new super fast and highly accurate AI: the Mixture of Experts Layer.”

This Week in Machine Learning, 20 January 2017 – Udacity Inc – Medium

Creating software that learns how to learn — This Week in #machinelearning:  #ai

  • Machine Learning is one of the most exciting fields in the world.
  • The week’s top Machine Learning stories, including machine learning for heart diagnoses, autonomous vehicles, and writing other AI agents!
  • That’s why we created This Week in Machine Learning!
  • Never miss a story from Udacity Inc , when you sign up for Medium.
  • Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments.

This week’s top Machine Learning stories, including machine learning for heart diagnoses, autonomous vehicles, and writing other AI agents! Machine Learning is one of the most exciting fields in the…
Continue reading “This Week in Machine Learning, 20 January 2017 – Udacity Inc – Medium”

Google’s AI Learns How To Code Machine Learning Software — Bad News For Programmers?

Google's #AI Learns How To Code #MachineLearning Software

  • Google’s AI Learns How To Code Machine Learning Software
  • The Google Brain artificial intelligence research group has created a new machine learning system that can design machine-learning software.
  • In their experiment, the researchers challenged their software to create machine learning systems.
  • Short Bytes: A team of researchers at Google Brain AI research group has created an AI system that has designed its own machine learning software.
  • The software that came up with these designs used the power of 800 GPUs.

A team of researchers at Google Brain AI research group has created an AI system that has designed its own machine learning software. The software that came up with these designs used the power of 800 GPUs
Continue reading “Google’s AI Learns How To Code Machine Learning Software — Bad News For Programmers?”

Google’s AI software is learning to make AI software

#Future #Tech: #AI software learns to make... AI software! #SkynetAlert
►  via @MIT

  • AI Software Learns to Make AI Software
  • In recent months several other groups have also reported progress on getting learning software to make learning software.
  • Now leading researchers are finding that they can make software that can learn to do one of the trickiest parts of their own jobs-the task of designing machine-learning software.
  • Google and others think software that learns to learn could take over some work done by AI experts.
  • If self-starting AI techniques become practical, they could increase the pace at which machine-learning software is implemented across the economy.

Google and others think software that learns to learn could take over some work done by AI experts.
Continue reading “Google’s AI software is learning to make AI software”

Google Is Making AI That Can Make More AI

Google Is Making #AI That Can Make More AI

  • What’s more, using AIs to build more AIs may also increase the speed at which new AIs can be made.
  • Once you’ve trained an AI to accomplish a certain goal, you can’t necessarily crack it open and see how it is doing it.
  • The downside is that AI building more AIs sure seems like it’s inviting a runaway cascade and, eventually, Skynet.
  • Google Is Making AI That Can Make More AI
  • The lab is reportedly building AI software that can build more AI software , with the goal of making future AI cheaper and easier.

There’s no way this could go wrong.
Continue reading “Google Is Making AI That Can Make More AI”

Google Opens Montreal AI Lab in Global Race for Scarce Talent

Google Is in a Fierce Global Race for Scarce #AI Talent

  • Google is building a new artificial intelligence lab in Montreal dedicated to deep learning, a technology that’s rapidly reinventing not only Google but the rest of the internet’s biggest players.
  • Google Opens Montreal AI Lab to Snag Scarce Global Talent
  • Last year, Facebook opened an AI lab in Paris, another deep learning hotbed , after building its first lab around New York Univeristy professor Yann LeCun in Manhattan.
  • The team will operate as an extension of Google Brain, the central operation that works to spread AI across the entire company.
  • Google, Facebook, and Microsoft Are Remaking Themselves Around AI

Google is trying to get its hooks into the world’s top deep learning talent before its competitors do.
Continue reading “Google Opens Montreal AI Lab in Global Race for Scarce Talent”

The ‘Google Brain’ is a real thing but very few people have seen it

'@Google Brain' is a real thing but very few people have seen it  #BigData #machinelearning

  • “And we have something called Google Brain, where we do our machine learning with special processors.
  • One little known fact: Google’s data centers and the Google Brain are not painted in “Google colors,” the primary colors, popular with pre-schoolers, that are used for Google’s products and the sprawling Googleplex HQ.
  • And there’s the Google Brain,” she says, describing seeing it behind those double doors.
  • Inside the data centers, the servers use LED lights, so they kinda of glow, just like you’d imagine a massive computer brain – one that is getting smarter all the time – to look.
  • Google has built a team of machine learning researchers that call themselves the Google Brain Team.

The entire tech industry is racing to build artificial intelligence and machine learning…
Continue reading “The ‘Google Brain’ is a real thing but very few people have seen it”

Top /r/MachineLearning Posts, July: Google Brain AMA, Geoff Hinton Awarded IEEE Medal, Hinton ANN Course Lives!

Top @reddit #MachineLearning Posts, July: Google Brain AMA, Dr. Geoff Hinton in the news

  • Google Brain AMA; Geoff Hinton Awarded IEEE Medal; Geoff Hinton’s ANN Course Lives; Google’s DeepMind Reduces Data Center Cooling Bill; Training an artificial neural network to play Diablo 2
  • 1. Google Brain will be doing an AMA in /r/MachineLearning on August 11 +717
  • KDnuggets Home > News > 2016 > Aug > News, Features > Top /r/MachineLearning Posts, July: Google Brain AMA, Geoff Hinton Awarded IEEE Medal, Hinton ANN Course Lives!
  • 3. Geoff Hinton’s “Neural Networks for Machine Learning” Course Is Being Offered Again +333
  • 4. Google’s DeepMind AI Reduces Data Center Cooling Bill By 40% +300

Read the full article, click here.


@kdnuggets: “Top @reddit #MachineLearning Posts, July: Google Brain AMA, Dr. Geoff Hinton in the news”


Google Brain AMA; Geoff Hinton Awarded IEEE Medal; Geoff Hinton’s ANN Course Lives; Google’s DeepMind Reduces Data Center Cooling Bill; Training an artificial neural network to play Diablo 2


Top /r/MachineLearning Posts, July: Google Brain AMA, Geoff Hinton Awarded IEEE Medal, Hinton ANN Course Lives!

Can computers produce original art and music? Google is finding out

Can computers produce original art and music? Google is finding out   #AI

  • 4 young Africans who are changing the world
  • Google is launching a new artificial intelligence group called “Magenta” to see if computers can create their own masterpieces, according to Quartz.
  • The organization is offering $100m to change the world
  • Committed to improving the state of the world
  • Google’s new artificial intelligence can’t understand these sentences.

Read the full article, click here.


@wef: “Can computers produce original art and music? Google is finding out #AI”


Google is launching a new artificial intelligence group called “Magenta” to see if computers can create their own masterpieces,according to Quartz.


Can computers produce original art and music? Google is finding out