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Claude Coulombe
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Google has released Facets, a new open source visualization tool.

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Using AI to predict suicide with remarkable accuracy (80-90% accuracy) based on data available from hospital admissions.

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How to detect faked identity using unexpected questions and mouse dynamics based on reaction time analysis. The researchers used classical ML techniques (Random Forest, Logistic Regression, SVM, and Logistic Model Tree) and get up to 95% accuracy.

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The ultimate fake news. The synthetic news report with fake voice and synchronized fake images using RNN. Fortunately, with the same technology, by reversing the process we could also potentially detect whether a video is real or fake.

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Another blog post from Google research about interesting questions:

If we scale up the amount of training data, will the accuracy increase? And How?

Will the accuracy plateau or will we continue to see increasing gains with more and more data? Spoilers...

* Better Representation Learning Helps
* Performance increases linearly with orders of magnitude of training data
* Capacity is Crucial
* New state of the art results

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Funny Friday! Google engineers has released a new Neural Machine Translation (NMT) tutorial for TensorFlow. It is based on a state-of-the-art Sequence-to-sequence (seq2seq) model which allows to build a competitive translation model from scratch. 

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DeepMind will open it's first international office in Edmonton Canada in close collaboration with University of Alberta. The new lab will be led by Rich Sutton a pioneer of reinforcement learning and professor at UAlberta.

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In the MIT Technology Review, a short article on IBM's strategy in AI, particularly in Health. The big picture is too much hype and optimism...

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Body poses seems an hot topic these days. Researchers at Carnegie Mellon University had developed a system (called Panoptic Studio) that can interpret body poses, including finger and hand poses of multiple people from a video. 

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On the application side of Deep Learning, the start-up «Deep Instinct» specialized in cybersecurity has got U$ 32 Millions in funding.
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