Current Machine Learning Landscape

Date: December 15, 2014 Published by

In the last 20 years, most of the best minds in machine intelligence (especially the ‘hardcore AI’ types) worked in academia. We’re also investors in a few other machine intelligence companies that aren’t focusing on areas that were a fit for this landscape, so we left them off. If you want to get a sense for innovations at the heart of machine intelligence, focus on... View Article

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How Crowdsourcing And Machine Learning Will Change The Way We Design Cities

Date: December 13, 2014 Published by

But previous research on New York City has found a significant correlation between perceived safety and homicide rates. Its rules are based on evaluations of only a few thousand images from two Northeastern cities, so it’s not yet very good at predicting how safe cities with different architectural styles feel. With crowdsourcing and machine learning, researchers can start to create much larger data sets on... View Article

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Meet the Startup Building Artificial Intelligence for Everyone

Date: December 12, 2014 Published by

Wired reports that MetaMind will both act as a deep learning consultant and offer its deep learning services and software to businesses. MetaMind will deliver artificial intelligence tools in three categories: language, vision, and database. As MetaMind’s recently-launched website explains, deep learning is a “rapidly growing branch of artificial intelligence” that “comprises a set of techniques that don’t require domain experts to program knowledge into... View Article

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IBM has a machine learning project to forecast solar and of course it’s called (LOL) Watt-sun — Tech News and Analysis

Date: December 12, 2014 Published by

Solar forecasting has been around as long as solar panels have been plugged into the grid. That made it the second largest quarter for solar panels installed in the U.S. ever, according to a report from the Solar Energy Industries Association. Machine learning and solar data are a perfect fit. Unlike coal, natural gas or nuclear plants, solar sites turn on and off at various... View Article

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Google Co-Founder Sergey Brin: We Will Make Machines That ‘Can Reason, Think, And Do Things Better Than We Can’

Date: December 11, 2014 Published by

During the interview, Brin was asked about machine learning and artificial intelligence. However, he thinks it’s only a matter of time before that changes:In the machine learning realm, we have several kinds of efforts going on. Therefore, you should presume that someday, we will be able to make machines that can reason, think and do things better than we can. There’s, for example, the brain... View Article

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Enjoy machine learning with Mahout on Hadoop

Date: December 11, 2014 Published by

I know, when someone starts talking machine learning, AI, and Tanimoto coefficients you probably make popcorn and perk up, right? Once we as an industry get done with the big, fat Hadoop deploy, the interest in machine learning and possibly AI more generally will explode, as one insightful commentator on my Hadoop article observed. The elephant, in this case, is Hadoop — and Mahout is... View Article

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Facebook Envisions AI That Keeps You From Uploading Embarrassing Pics

Date: December 11, 2014 Published by

He and his Facebook team are by no means alone. Google snapped up Geoff Hinton, the University of Toronto professor who founded the deep learning movement alongside LeCun and others. At one point, LeCun indicates that Facebook is not yet exploring AI in combination with robotics. But like Google, LeCun and FAIR are pushing for more. They don’t want machines telling them what to do,... View Article

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Artificial intelligence: how clever do we want our machines to be?

Date: December 8, 2014 Published by

No arguments there, but the term, which stands for “artificial intelligence”, has a more storied history than Spielberg and Kubrick’s 2001 film. Even if we manage to not get wiped out by malicious AI, there’s still the issue of how society adapts to the increasing capability of artificial intelligence. But rather than being able to think, Eugene relied on a clever gimmick and a host... View Article

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A Googler’s Quest to Teach Machines How to Understand Emotions

Date: December 5, 2014 Published by

You can then feed such numbers into machines, and that means machines can ultimately understand the contents of photos and the meanings of words. He’s even exploring how machines can understand things like opinions and emotions. Even more recently, Le published a paper with fellow Googlers, Ilya Sutskever and Oriol Vinyals, on machine translation using deep neural nets. Deep learning is driving similar tools at other... View Article

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13 open source machine learning tools

Date: December 5, 2014 Published by

Scikit-learn Python has become a go-to programming language for math, science, and statistics due to its ease of adoption and the breadth of libraries available for nearly any application. Scikit-learn leverages this breadth by building on top of several existing Python packages — NumPy, SciPy, and matplotlib — for math and science work. The resulting libraries can be used either for interactive “workbench” applications or... View Article

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