The Birth of A.I.

March 3, 2018

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The Birth of A.I.

Waze famously disrupted GPS navigation by crowdsourcing user data from mobile phones, instead of purchasing costly sensors tied to city infrastructure, as Nokia had done before them. Waze then scaled with low overhead costs by using machine learning algorithms to find precise traffic patterns that optimized each user’s route. The end result of this dynamic was massive layoffs at Nokia, and Google’s acquisition of / integration with Waze in 2013.

Kids born today can’t conceive of a world without crowdsourced hardware data, because Waze shifted the paradigm.

Source: medium.com

Paul Allen Wants to Teach Machines Common Sense

The Microsoft co-founder will give $125 million to his nonprofit research lab to help develop technology that adds common sense to artificial intelligence.

Mobile Real-time Video Segmentation

We use big convolution kernels with large strides of four and above to detect object features on the high-resolution RGB input frame. Convolutions for layers with a small number of channels (as it is the case for the RGB input) are comparably cheap, so using big kernels here has almost no effect on the computational costs.

Hacking the Brain with Adversarial Images

This is an example of what’s called an adversarial image: an image specifically designed to fool neural networks into making an incorrect determination about what they’re looking at. Researchers at Google Brain decided to try and figure out whether the same techniques that fool artificial neural networks can also fool the biological neural networks inside of our heads, by developing adversarial images capable of making both computers and humans think that they’re looking at something they aren’t.

The Birth of A.I.

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Paul Allen Wants to Teach Machines Common Sense

Mobile Real-time Video Segmentation

Hacking the Brain with Adversarial Images