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Google Duplex: An AI System for Accomplishing Real World Tasks Over the Phone
Posted by Yaniv Leviathan, Principal Engineer and Yossi Matias, Vice President, Engineering, Google A long-standing goal of human-computer intera...
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 188 posts.
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Facial recognition: It’s time for action
In July, we shared our views about the need for government regulation and responsible industry measures to address advancing facial recognition technology. As we discussed, this technology brings important and even exciting societal benefits but also the potential for abuse. We noted the need for broader study and…
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Learning Math for Machine Learning
Vincent Chen is a student at Stanford University studying Computer Science. He is also a Research Assistant at the Stanford AI Lab. -------------------------------------------------------------------------------- It’s not entirely clear what level of mathematics is necessary to get started in machine learning…
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Amazon’s own ‘Machine Learning University’ now available to all developers
Today, I’m excited to share that, for the first time, the same machine learning courses used to train engineers at Amazon are now available to all developers through AWS. We’ve been using machine learning across Amazon for more than 20 years. With thousands of engineers focused on machine learning across the company…
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OpenAI Five
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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AI at Google: our principles
We’re announcing seven principles to guide our work in AI.
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Neural scene representation and rendering
There is more than meets the eye when it comes to how we understand a visual scene: our brains draw on prior knowledge to reason and to make inferences that go far beyond the patterns of light that hit our retinas. For example, when entering a room for the first time, you instantly recognise the items it contains and…
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Facebook open-sources a speech-recognition system and a machine learning library
WHAT THE RESEARCH IS: A new fully convolutional approach to automatic speech recognition and wav2letter++, the fastest state-of-the-art end-to-end speech recognition system available. The approach …
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Listening for illegal logging chainsaws using TensorFlow
Rainforest Connection founder and CEO Topher White shares how TensorFlow, Google’s open-source machine learning framework, aids in their efforts.
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Learning Dexterity
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Google Cloud Text-To-Speech Powered by DeepMind WaveNet Technology
Many Google products (e.g., the Google Assistant, Search, Maps) come with built-in high-quality text-to-speech synthesis that produces natural sounding speech. Developers have been telling us they’d like to add text-to-speech to their own applications, so today we’re bringing this technology to Google Cloud Platform…
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Keras vs PyTorch
Keras and PyTorch are both excellent choices for your first deep learning framework. Learn how they differ and which one will suit your needs better.
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YouTube Face is clickbait, attaining human form
On YouTube, there’s a long tail of content that pretty much guarantees the inclusion of every potential human interest. There are skate videos, makeup tutorials, and backyard surgical removals of blackheads. And yet the presentation of a lot of this content — especially when it’s trying to attract a large audience …
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PhysX SDK 4.0, an Open-Source Physics Engine
The engine has been upgraded to provide industrial grade simulation quality at game simulation performance. In addition, the PhysX SDK has gone open source! It is available under the simple 3-Clause…
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Measuring the “Filter Bubble”: How Google is influencing what you click
Does Google show you different search results based on your personal info, even when signed out and in so-called "incognito" mode? We ran a study to find out.
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AI and Compute
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.