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Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 153 posts.
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DeepMind and Blizzard to release StarCraft II as an AI research environment
Today at BlizzCon 2016 in Anaheim, California, we announced our collaboration with Blizzard Entertainment to open up StarCraft II to AI and Machine Learning researchers around the world.
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Google supercharges machine learning tasks with TPU custom chip
Machine learning provides the underlying oomph to many of Google’s most-loved applications. In fact, more than 100 teams are currently using machine learning at Google today, from Street View, to Inbox Smart Reply, to voice search.
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WaveNet: A Generative Model for Raw Audio
This post presents WaveNet, a deep generative model of raw audio waveforms. We show that WaveNets are able to generate speech which mimics any human voice and which sounds more natural than the best existing Text-to-Speech systems, reducing the gap with human performance by over 50%.
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Microsoft demos 'holoportation' 3D presence tech with HoloLens
Holoportation is a new type of 3D capture technology that allows high-quality 3D models of people to be reconstructed, compressed and transmitted anywhere in the world in real time. When combined with mixed reality displays such as HoloLens, this technology allows users to see, hear, and interact with remote…
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DeepMind moves to TensorFlow
Posted by Koray Kavukcuoglu, Research Scientist, Google DeepMindAt DeepMind, we conduct state-of-the-art research on a wide range of algorithms, fr...
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A Guide to Deep Learning
YerevaNN /jɛɾɛvɑnˈɛn/ is a machine learning research center based in Yerevan, Armenia.
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Text Summarization with TensorFlow
Posted by Peter Liu and Xin Pan, Software Engineers, Google Brain TeamEvery day, people rely on a wide variety of sources to stay informed -- from ...
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DeepText: Facebook's text understanding engine
Visit the post for more.
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Machine Learning Crash Course: Part 2
Machine Learning at Berkeley is a student organization at UC Berkeley. Click to read ML@B Blog, by Machine Learning at Berkeley, a Substack publication with thousands of subscribers.
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How Kalman Filters Work
This articles describes how Kalman filters and other state estimation techniques work, focusing on building intuition and pointing out good implementation techniques.
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Graph-Powered Machine Learning at Google
Posted by Sujith Ravi, Staff Research Scientist, Google ResearchRecently, there have been significant advances in Machine Learning that enable comp...
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Facebook AI Research Team Open Source DeepMask and SharpMask
Visit the post for more.
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Open-sourcing DeepMind Lab
DeepMind's scientific mission is to push the boundaries of AI, developing systems that can learn to solve any complex problem without needing to be taught how.
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Generative Models
This post describes four projects that share a common theme of enhancing or using generative models, a branch of unsupervised learning techniques in machine learning. In addition to describing our work, this post will tell you a bit more about generative models: what they are, why they are important, and where they…
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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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Major advancements in Deep Learning in 2016
Deep Learning has been the core topic in the Machine Learning community the last couple of years and 2016 was not the exception. In this article, we will go through the advancements we think have contributed the most (or have the potential) to move the field forward and how organizations and the community are making…
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Sam Altman talks with Mark Zuckerberg about how to build the future [video]
Read more on Y Combinator's blog.
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Machine Learning Crash Course: Part 1
Machine Learning at Berkeley is a student organization at UC Berkeley. Click to read ML@B Blog, by Machine Learning at Berkeley, a Substack publication with thousands of subscribers.
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We built voice modulation to mask gender in technical interviews
We built software to mask gender in technical engineering interviews. See what we learned and why it matters.
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Google launches voice typing in Google Docs
Edit and format your documents — all without touching your keyboard.