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”

Geoffrey Hinton talks about Deep Learning, Google and Everything

Learn top @google #AI thought leader, Geoffrey Hinton's perspective on #Deeplearning:

  • KDnuggets Home > News > 2014 > Dec > Opinions, Interviews, Reports > Geoffrey Hinton talks about Deep Learning, Google and Everything ( 14:n32 )
  • Dr. Hinton made a couple of points about Deep Learning and how our brain works on his AMA.
  • Its the first time I’ve believed that deep learning would be able to do real reasoning in the not too distant future.
  • I think the long-term future (of machine learning) is quite likely to be something that most researchers currently regard as utterly ridiculous and would reject as a NIPS paper.
  • Dr. Hinton started a course “Neural Networks for machine learning” on Coursera, which introduces artificial neural networks and its application.


A review of Dr. Geoffrey Hinton’s Ask Me Anything on Reddit. He talked about his current research and his thought on some deep learning issues.

Continue reading “Geoffrey Hinton talks about Deep Learning, Google and Everything”

Yann LeCun’s answer to What are your recommendations for self-studying machine learning?

Facebook director of AI research @ylecun’s recommendations for self-studying deep learning

  • A recent series of 8 lectures on deep learning that I gave at Collège de France in Paris.
  • You can get a broad idea of deep what deep learning is about through tutorial lectures that are available from the Web.
  • Nikhil Dandekar , worked on machine learning at Microsoft, Foursquare and Quora
  • my 2015 course on Deep Learning at NYU: deeplearning2015:schedule | CILVR Lab @ NYU (unfortunately, the videos of the lectures had to be taken down due to stupid legal reasons, but the slides are there).
  • There is tons of on-line material, tutorials and courses on ML, including Coursera lectures.

Read the full article, click here.


@kylebrussell: “Facebook director of AI research @ylecun’s recommendations for self-studying deep learning”


I’ll respond more specifically for deep learning. You can get a broad idea of deep what deep learning is about through tutorial lectures that are available from the Web. Most notably:


Yann LeCun’s answer to What are your recommendations for self-studying machine learning?

Common Sense in Artificial Intelligence… by 2026?

Common Sense in #ArtificialIntelligence… by 2026?  by @lemire

  • To replace human beings at most jobs, machines need to exhibit what we intuitively call “common sense”.
  • For example, many human beings are illiterate and they can be said to have common sense.
  • Common sense is basic knowledge about how the world of human beings works.
  • For example, if you are lying on the floor yelling “I’m hurt”, common sense dictates that we call emergency services… but it is possible that Apple’s Siri could already be able to do this.
  • If computers could be granted a generous measure of common sense, many believe that they could make better employees than human beings.

Read the full article, click here.


@kdnuggets: “Common Sense in #ArtificialIntelligence… by 2026? by @lemire”


An insightful opinion piece on the future of common sense in AI. A recommended read by an authority in the field.


Common Sense in Artificial Intelligence… by 2026?

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!