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New
The latest blog posts to take off on Hacker News. 3,242 posts.
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The UX of AI
Explore Google Design’s human-centered approach to UX design for AI. Learn how Google Clips uses ML for user-friendly, private experiences. Discover more.
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Faster R-CNN: Down the rabbit hole of modern object detection
In this post, I'll explain the architecture of Faster R-CNN, starting with a high level overview, and then go over the details for each of the components. You'll be introduced to base networks, anchors as well as the region proposal network.
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Cloud AutoML: Making AI accessible to every business
To make AI accessible to every business, we’re introducing Cloud AutoML, which helps businesses with limited ML expertise start building their own high-quality custom mo…
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Introducing Preemptible GPUs
In May 2015, Google Cloud introduced Preemptible VM instances to dramatically change how you think about (and pay for) computational resources for high-throughput batch computing, machine learning, scientific and technical workloads. Then last year, we introduced lower pricing for Local SSDs attached to Preemptible…
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Tacotron 2: Generating Human-Like Speech from Text
Posted by Jonathan Shen and Ruoming Pang, Software Engineers, on behalf of the Google Brain and Machine Perception TeamsGenerating very natural sou...
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Artwork Personalization at Netflix
Artwork is the first instance of personalizing not just what we recommend but also how we recommend.
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Pruning AI networks without impacting performance
The IBM Research blog is the home for stories told by the researchers, scientists, and engineers inventing What’s Next in science and technology.
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A Reply to François Chollet on Intelligence Explosion
This is a reply to Francois Chollet, the inventor of the Keras wrapper for the Tensorflow and Theano deep learning systems, on his essay "The impossibility of
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IBM scientists demonstrate 10x faster large-scale machine learning using GPUs
The IBM Research blog is the home for stories told by the researchers, scientists, and engineers inventing What’s Next in science and technology.
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Learning with Privacy at Scale
Understanding how people use their devices often helps in improving the user experience. However, accessing the data that provides such…
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Theoretical Machine Learning Lecture Series: Deep Learning and Cognition
Deep learning, which is the reemergence of artificial neural networks, has recently succeeded as an approach towards artificial intelligence. In many fields, including computational linguistics, deep learning approaches have largely displaced earlier machine learning approaches, due to the superior performance they…
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Initial Release of Mozilla’s Open Source Speech Recognition Model and Voice Data
With the holiday, gift-giving season upon us, many people are about to experience the ease and power of new speech-enabled devices. Technical advancements
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Population-based training of neural networks
Neural networks have shown great success in everything from playing Go and Atari games to image recognition and language translation. But often overlooked is that the success of a neural network at a particular application is often determined by a series of choices made at the start of the research, including what…
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TensorFlow Feature Columns
Welcome to Part 2 of a blog series that introduces TensorFlow Datasets and Estimators. We're devoting this article to —a data structure describing the features that an Estimator requires for training and inference. As you'll see, feature columns are very rich, enabling you to represent a diverse range of data.
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An On-Device Deep Neural Network for Face Detection
Apple started using deep learning for face detection in iOS 10. With the release of the Vision framework, developers can now use this…