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New
The latest blog posts to take off on Hacker News. 326 posts.
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Facebook Trains ImageNet in 1 Hour
Facebook published a paper today detailing how they are able to train nearly 1.3 million images in under an hour using 256 Tesla P100 GPUs that previously took days on a single system.
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Neural Translation of Musical Style
Can we teach a neural network to perform like a human?
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Learning to Cooperate, Compete, and Communicate
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Tuning Your DBMS Automatically with Machine Learning
This is a guest post by Dana Van Aken, Andy Pavlo, and Geoff Gordon of Carnegie Mellon University. This project demonstrates how academic researchers can leverage our AWS Cloud Credits for Research Program to support their scientific breakthroughs. Database management systems (DBMSs) are the most important component…
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Visualize data instantly with machine learning in Google Sheets
Today we’re rolling out new features in Sheets that make it even easier for you to visualize and share your data, and find insights your teams can act on.
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Improving Stack Overflow jobs search with machine learning and R
A journey into making Stack Overflow job search results relevant to you
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How Bayesian Inference Works (2016)
Bayesian inference is a way to get sharper predictions from your data. It’s particularly useful when you don’t have as much data as you would like and want to juice every last bit of predictive strength from it.
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AlphaGo's next move
With just three stones on the board, it was clear that this was going to be no ordinary game of Go.
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OpenAI Baselines
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Principal Component Analysis Explained Visually (2015)
Principal component analysis (PCA) is a technique used to emphasize variation and bring out strong patterns in a dataset. It's often used to make data easy to explore and visualize.
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Which GPU(s) to Get for Deep Learning
Here, I provide an in-depth analysis of GPUs for deep learning/machine learning and explain what is the best GPU for your use-case and budget.
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Making a Neural Synthesizer Instrument
In a previous post, we described the details of NSynth (Neural Audio Synthesis), a new approach to audio synthesis using neural networks. We hinted at furthe...
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Attacking Machine Learning with Adversarial Examples
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Google Home: An Insight Into a 4-Year-Old’s Mind
How Google Home provides an interesting insight into the curiosity of a 4-year-old.
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SketchRNN model released in Magenta
Sketch-RNN, a generative model for vector drawings, is now available in Magenta. For an overview of the model, see the Google Research blog fromApril 2017, ...
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Introducing the TensorFlow Research Cloud
Posted by Zak Stone, Product Manager for TensorFlowResearchers require enormous computational resources to train the machine learning (ML) models t...
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Robots that learn
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Roboschool: open-source software for robot simulation
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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The World’s Largest Street-Level Imagery Dataset for Teaching Machines to See
Mapillary Vistas, the world’s largest and most diverse publicly available, pixel-accurately and instance-specifically annotated street-level imagery dataset, will empower autonomous mobility and transport at the global scale.
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Understanding deep learning requires re-thinking generalization
Understanding deep learning requires re-thinking generalization Zhang et al., ICLR’17 This paper has a wonderful combination of properties: the results are easy to understand, somewhat surpri…