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Andrew Ednie
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Andrew Ednie commented on a video on YouTube.
This seems really out of date on driverless cars. Anyone know when it was made?

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Andrew Ednie commented on a video on YouTube.
Russell just keeps on getting funnier. Keep it up Rus, its hilarious. Best parody of a clueless socialist since Rick in the Young Ones.

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Eventually it figures out that the only winning move is not to play.

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Andrew Ednie commented on a post on Blogger.
Would be really nice if Google released the Linux client sometime soon. The biggest advantage of using cloud storage is that it's available on all my devices, that doesn't work if you don't have a Linux client!

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Glorious.

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Some of our scientists are lending their expertise to the Lunar Mission One project.

Lunar Mission One, officially unveiled today, will send a robot explorer to the moon to drill further below the surface than any previous missions, accessing rock up to 4.5 billion years old. 

The mission will also leave behind a capsule containing a digital archive of the history of human civilisation and 'memory boxes' containing information from the general public who support the project through Kickstarter. 

Read more about our involvement in the project here: http://ow.ly/EwFtT 

You can also watch the live Lunar Mission One announcement event online from 2:40pm GMT here: http://launch.lunarmissionone.com/
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Absolutely amazing. AI is improving very fast.
Building computer generated descriptions of images from raw pixels

“Two pizzas sitting on top of a stove top oven”
“A group of people shopping at an outdoor market”
“Best seats in the house”

People can summarize a complex scene in a few words without thinking twice. It’s much more difficult for computers. But we’ve just gotten a bit closer -- we’ve developed a machine-learning system that can automatically produce captions (like the three above) to accurately describe images the first time it sees them.

By constructing a model that combines a vision Convolutional Neural Network (CNN) with a language-generating Recurrent Neural Network (RNN), the system can take an image and generate a fitting natural-language caption. Head over to the Google Research blog to learn more.

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