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Train your own image classifier with Inception in TensorFlow
Posted by Jon Shlens, Senior Research ScientistAt the end of last year we released code that allows a user to classify images with TensorFlow model...
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The latest blog posts to take off on Hacker News. 3,242 posts.
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AlphaGo’s ultimate challenge: a five-game match against Lee Sedol
Game 5 - March 15, 2016After a loss in Game 4, and a move early on that looked like a mistake, but could have been a creative and effective new move, AlphaGo won Game 5 …
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Google launches voice typing in Google Docs
Edit and format your documents — all without touching your keyboard.
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Google Cloud Vision API enters Beta
Today, we're announcing the beta release of Google Cloud Vision API . Now anyone can submit their images to the Cloud Vision API to understand the contents of those images — from detecting everyday objects (for example, “sports car,” “sushi,” or “eagle”) to reading text within the image or identifying product logos.
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Running your models in production with TensorFlow Serving
Posted by Noah Fiedel, Software EngineerMachine learning powers many Google product features, from speech recognition in the Google app to Smart Re...
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How convolutional neural networks see the world
Note: this post was originally written in January 2016. It is now very outdated. Please see this example of how to visualize convnet filters for an up-to-date alternative, or check out chapter 9 of my book "Deep Learning with Python (2nd edition)".
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Automatic bug-repair system fixes 10 times as many errors as its predecessors
MIT researchers have developed a machine-learning system that can comb through repairs to open-source computer programs and learn their general properties, in order to produce new repairs for a different set of programs.
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AlphaGo: Mastering the Ancient Game of Go with Machine Learning
Posted by David Silver and Demis Hassabis, Google DeepMindGames are a great testing ground for developing smarter, more flexible algorithms that ha...
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The Myth of AI – Jaron Lanier
That mythology, in turn, has spurred a reactionary, perpetual spasm from people who are horrified by what they hear. You'll have a figure say, "The computers will take over the Earth, but that's a good thing, because people had their chance and now we should give it to the machines." Then you'll have other people say…
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How to trick a neural network into thinking a panda is a vulture
When I go to Google Photos and search my photos for ‘skyline’, it finds me this picture of the New York skyline I took in August, without me having labelled it!
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Scott Aaronson on Google’s new quantum-computing paper
MIT professor Scott Aaronson discusses new Google experiments that suggest the D-Wave computer exploits quantum phenomena.
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Introducing OpenAI
OpenAI is a non-profit artificial intelligence research company. Our goal is to advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return. Since our research is free from financial obligations, we can better focus on a positive…
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Facebook to open-source AI hardware design
Visit the post for more.
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Google Cloud Vision API changes the way applications understand images
Have you ever wondered how Google Photos helps you find all your favorite dog photos? With today’s release of Google Cloud Vision API , deve...
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Computer, Respond to This Email
Posted by Greg Corrado*, Senior Research Scientist Machine Intelligence for You What I love about working at Google is the opportunity to harness c...
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Self-flying drone dips, darts and dives through trees at 30 mph
A researcher from MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) has developed an obstacle-detection system that allows a drone to autonomously dip, dart and dive through a tree-filled field at upwards of 30 miles per hour.
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New general-purpose optimization algorithm promises order-of-magnitude speedups
MIT graduate students have developed a new “cutting-plane” algorithm, a general-purpose algorithm for solving optimization problems. They’ve also developed a new way to apply their algorithm to specific problems, yielding orders-of-magnitude efficiency gains.
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Google voice search: faster and more accurate
Posted by Haşim Sak, Andrew Senior, Kanishka Rao, Françoise Beaufays and Johan Schalkwyk – Google Speech TeamBack in 2012, we announced that Google...
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Artificial Neural Networks for Beginners
Deep Learning is a very hot topic these days especially in computer vision applications and you probably see it in the news and get curious. Now the question is, how do you get started with it? Today's guest blogger, Toshi Takeuchi, gives us a quick tutorial on artificial neural networks as a starting point for your…
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A Beginner’s Guide to Recurrent Networks and LSTMs
The Eclipse Deeplearning4j Project. Eclipse Deeplearning4j has 5 repositories available. Follow their code on GitHub.
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Inferring Algorithmic Patterns with Stack
At Meta, research permeates everything we do. We believe the most interesting research questions are derived from real world problems.
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A Beginner’s Guide to Eigenvectors, Covariance, PCA and Entropy
The Eclipse Deeplearning4j Project. Eclipse Deeplearning4j has 5 repositories available. Follow their code on GitHub.
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Building the Next New York Times Recommendation Engine
Alexander Spangher discusses recent work that’s been done to revamp our article recommendation algorithm.
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Matrix Computations on the GPU in Clojure
Clojure Fast Matrix Library - GPU and native CPU
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MIRI's Approach – Machine Intelligence Research Institute
MIRI's mission is "to ensure that the creation of smarter-than-human artificial intelligence has a positive impact." How can we ensure any such thing? It's a