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Teaching Machines to Draw
Posted by David Ha, Google Brain ResidentAbstract visual communication is a key part of how people convey ideas to one another. From a young age, c...
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The latest blog posts to take off on Hacker News. 3,242 posts.
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WebVR Experiments
We’ve created a showcase of the amazing VR experiences developers are building on the web. To play with them, all you need is a browser.
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Autodraw – Fast Drawing for Everyone
AutoDraw is a new A.I. Experiment, built by Google Creative Lab, which uses machine learning and artists’ drawings, to help everyone create anything visual, fast.
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Exploring the mysteries of Go with AlphaGo and China’s top players
Just over a year ago, we saw a major milestone in the field of artificial intelligence: DeepMind’s AlphaGo took on and defeated one of the world’s top Go players, the legendary Lee Sedol. Even then, we had no idea how this moment would affect the 3,000 year old game of Go and the growing global community of devotees…
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Unreasonable Ineffectiveness of Machine Learning in Computer Systems Research
In 1960, the physicist Eugene Wigner wrote a famous essay titled “The Unreasonable Effectiveness of Mathematics in the Natural Sciences” in which he explored the question of why mathematics is so r…
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Predicting Properties of Molecules with Machine Learning
Posted by George Dahl, Research Scientist, Google Brain TeamRecently there have been many exciting applications of machine learning (ML) to chemist...
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Open sourcing Sonnet – a new library for constructing neural networks
It’s now nearly a year since DeepMind made the decision to switch the entire research organisation to using TensorFlow (TF). It’s proven to be a good choice - many of our models learn significantly faster, and the built-in features for distributed training have hugely simplified our code. Along the way, we found that…
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Machine learning without centralized training data
Posted by Brendan McMahan and Daniel Ramage, Research ScientistsStandard machine learning approaches require centralizing the training data on one ...
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Unsupervised sentiment neuron
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Quantifying the performance of the TPU, our first machine learning chip
We’re releasing a study that shares new details on our Tensor Processing Unit (TPU) custom chips which have been running machine learning applications in our data centers since 2015.
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Google Brain Toronto
A “vector” is a geometric object with two important properties: magnitude and direction. These two attributes might also describe Canada’s AI sector today, as key inves…
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Open Philanthropy Project awards a grant of $30M to OpenAI
Coefficient has directed over $7 billion in grants since 2014. Our mission is to help others as much as we can with the resources available to us.
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Using Deep Learning to model personal visual aesthetics
Visual aesthetics are very personal, often subconscious, and hard to express. In a world with an overload of photographic content, a lot of time and effort is spent manually curating photographs…
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Faiss: A library for efficient similarity search
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Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Machine Learning: A Summary on Feature Engineering Using R Language
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YC AI
Some think the excitement around Artificial Intelligence is overhyped. They might be right. But if they’re wrong, we’re on the precipice of something really big. We can’t afford to ignore what might be the biggest technological leap since the Internet. In an effort to usher in more innovation with AI, Y Combinator is…
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Training agents to invent a language
In this post we’ll outline new OpenAI research in which agents develop their own language.
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An Upgrade to SyntaxNet, New Models and a Parsing Competition
Posted by David Weiss and Slav Petrov, Research ScientistsAt Google, we continuously improve the language understanding capabilities used in applic...
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Introducing Keras 2
Keras was released two years ago, in March 2015. It then proceeded to grow from one user to one hundred thousand.
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Enabling Continual Learning in Neural Networks
Computer programs that learn to perform tasks also typically forget them very quickly. We show that the learning rule can be modified so that a program can remember old tasks when learning a new one. This is an important step towards more intelligent programs that are able to learn progressively and adaptively.
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Reaching new records in speech recognition
IBM Watson Speech to Text converts audio into accurate text, enabling real-time transcription, captions and insights with scalable AI APIs.
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