This is fucking awesome!
Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics. Deep learning discovers intricate structure in large data sets by using the backpropagation algorithm to indicate how a machine should change its internal parameters that are used to compute the representation in each layer from the representation in the previous layer. Deep convolutional nets have brought about breakthroughs in processing images, video, speech and audio, whereas recurrent nets have shone light on sequential data such as text and speech.
Source: Deep learning : Nature : Nature Publishing Group
This is what happens when someone try to manipulate their results in order to publish in Science!
Source: As A Major Retraction Shows, We’re All Vulnerable To Faked Data | FiveThirtyEight
Precision medicine cannot advance without full disclosure of how commercial genome sequencing and interpretation software works, says Mauno Vihinen.
While at PyCon this year, someone pointed out that the hope/goal/expectation when Python 3 was released was to have over 50% of new projects using Python 3 within five years, and that had not come to fruition (while I have not personally crunched… | Brett Cannon | Python core developer. Tall, snarky Canadian.
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