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How Robots Can Acquire New Skills from Their Shared Experience
Posted by Sergey Levine (Google Brain Team), Timothy Lillicrap (DeepMind), Mrinal Kalakrishnan (X)The ability to learn from experience will likely ...
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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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The Most Popular Language for Machine Learning
IBM Developer is the source for hands-on training and in-demand learning on relevant technologies such as generative AI, data science, Java, and more.
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SpaCy v1.0: Deep Learning with custom pipelines and Keras
I'm pleased to announce the 1.0 release of spaCy, the fastest NLP library in the world. By far the best part of the 1.0 release is a new system for integrating custom models into spaCy. This post introduces you to the changes, and shows you how to use the new custom pipeline functionality to add a Keras-powered LSTM…
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Introducing FBLearner Flow: Facebook's AI Backbone
Visit the post for more.
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Embed, encode, attend, predict: the new deep learning formula for NLP models
Over the last six months, a powerful new neural network playbook has come together for Natural Language Processing. The new approach can be summarised as a simple four-step formula: embed, encode, attend, predict. This post explains the components of this new approach, and shows how they're put together in two recent…
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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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Show and Tell: Image captioning open sourced in TensorFlow
Posted by Chris Shallue, Software Engineer, Google Brain TeamIn 2014, research scientists on the Google Brain team trained a machine learning syste...
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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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Artificial Intelligence Generates Christmas Song from Holiday Image
Researchers from University of Toronto developed an AI system that creates and then sings a Christmas song based by analyzing the visual components of an uploaded image. With the help of CUDA…
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Open sourcing Embedding Projector: a tool for visualizing high dimensional data
Posted by Daniel Smilkov and the Big Picture group Recent advances in Machine Learning (ML) have shown impressive results, with applications rangin...
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Intel Unveils Strategy for State-Of-the-Art Artificial Intelligence
Intel Newsroom delivers the latest news, announcements, and updates. Stay informed on Intel innovations.
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Generating Recommendations at Amazon Scale with Apache Spark and Amazon DSSTNE
In this post, I discuss an alternate solution; namely, running separate CPU and GPU clusters, and driving the end-to-end modeling process from Apache Spark.
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The Problem with Reality
Discover all the Meta Quest VR entertainment experiences. Enjoy streaming your favorite VR movies, tv shows, and live sport events. With VR, your living room is better than the theater.
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Intel acquires Movidius
Unlock more with Intel Core Ultra processors. Experience superior AI performance, all-day battery life, and pro-level graphics for work and play.
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Intel acquires Itseez, leading developer of OpenCV
Intel Newsroom delivers the latest news, announcements, and updates. Stay informed on Intel innovations.
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Machine Learning Unconference
The latest information about the Unconference is now available at the Unconference wiki, which will be periodically updated with more information for attendees.
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Language contains human biases, and so will machines trained on language corpora
I have a new draft paper with Aylin Caliskan-Islam and Joanna Bryson titled Semantics derived automatically from language corpora necessarily contain human biases. We show empirically that natural language necessarily contains human biases, and the paradigm of training machine learning on language corpora means that…