In the News
U.S. tells Google computers can qualify as drivers
U.S. vehicle safety regulators have said the artificial intelligence system piloting a self-driving Google car could be considered the driver under federal law, a major step toward ultimately winning approval for autonomous vehicles on the roads.
Learning
Summary from the REWork conference
The REWork conference gathered great speakers and minds of the AI community last month. Here is a nice summary of the different panels and presentations.
Beginner’s guide to word2vec - What’s the opposite of Canada?
The easiest way to think about word2vec is that it figures out how to place words on a “chart” in such a way that their location is determined by their meaning. This means that words with similar meanings will be clustered together.
Automatic estimation of heart rate
This is a nice side project where video and sound are used to estimate a person's heart rate.
Generative fonts with adversarial networks
See how to train both Variational Autoencoding and Generative Adversarial Network models on fonts and explore the font-space by printing out arbitrary strings.
Software tools & code
Open-source implementation of Residual Networks
This is a Caffe-based implementation of the winning entries to the ImageNet challenge 2 months ago (there's also a Torch implementation). You are finally going to be able to play around with those very very deep networks pioneered by Microsoft .
Hardware
MIT presents its Eyeriss chip
Eyeriss, a new 168-core chip, was recently presented by the MIT. It boasts interesting deep learning capabilities and the ability to run powerful AI algorithms on mobile devices.
Some thoughts
Video of a first person Teleoperation
UC Berkeley team showcases technology to perform surgery remotely.
Text mining South Park
South Park follows four fourth grade boys (Stan, Kyle, Cartman and Kenny) and an extensive ensemble cast of recurring characters. This analysis reviews their speech to determine which words and phrases are distinct for each character.
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