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There's No Fire Alarm for Artificial General Intelligence
What is the function of a fire alarm?
Most cited
Posts that commenters keep linking to, ranked by how many different people have cited them in Hacker News comments. 31 posts.
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Attacking Machine Learning with Adversarial Examples
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Evolution Strategies as a Scalable Alternative to Reinforcement Learning
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Hey Siri: An On-Device DNN-Powered Voice Trigger for Apple’s Personal Assistant
The “Hey Siri” feature allows users to invoke Siri hands-free. A very small speech recognizer runs all the time and listens for just those…
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Fooling Neural Networks in the Physical World with 3D Adversarial Objects
We've developed an approach to generate 3D adversarial objects that reliably fool neural networks in the real world, no matter how the objects are looked at.
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Attacking machine learning with adversarial examples
Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake; they’re like optical illusions for machines. In this post we’ll show how adversarial examples work across different mediums, and will discuss why securing systems against them…
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Pixel Visual Core: Google’s first custom-designed co-processor
Google’s first custom-designed co-processor for consumer products is built into every Pixel 2. Soon, it will enable more applications to use Pixel 2’s camera for taking …
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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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Unsupervised sentiment neuron
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Machine learning without centralized training data
Posted by Brendan McMahan and Daniel Ramage, Research ScientistsStandard machine learning approaches require centralizing the training data on one ...
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Creating a Modern OCR Pipeline Using Computer Vision and Deep Learning
Dash knows your context, your team, and your work, so your team can stay organized, easily find and share knowledge, and keep projects secure, all from one place.
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More on Dota 2
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Robust Adversarial Examples
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Eager Execution: An imperative, define-by-run interface to TensorFlow
Posted by Asim Shankar and Wolff Dobson, Google Brain Team UPDATE, April 3 2018: Please see the official user guide for more up-to-date code examp...
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DeepMind and Blizzard Open StarCraft II as an AI Research Environment
DeepMind's scientific mission is to push the boundaries of AI by developing systems that can learn to solve complex problems. To do this, we design agents and test their ability in a wide range of environments from the purpose-built DeepMind Lab to established games, such as Atari and Go.
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The future of deep learning
This post is adapted from Section 3 of Chapter 9 of my book, Deep Learning with Python (Manning Publications).
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Deep Learning for Siri’s Voice
Siri is a personal assistant that communicates using speech synthesis. Starting in iOS 10 and continuing with new features in iOS 11, we…
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Enabling Continual Learning in Neural Networks
Computer programs that learn to perform tasks also typically forget them very quickly. We show that the learning rule can be modified so that a program can remember old tasks when learning a new one. This is an important step towards more intelligent programs that are able to learn progressively and adaptively.
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Generating music with expressive timing and dynamics
We present Performance RNN, an LSTM-based recurrent neural network designed to model polyphonic music with expressive timing and dynamics. Here’s an example...
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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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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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How to Get into Natural Language Processing
We’re excited to introduce a new series we’re calling Paths [https://ycombinator.wpengine.com/category/paths/]. Each post will outline an emerging technology and give you clear steps on how to get started in that field. This series was designed with makers and aspiring entrepreneurs in mind. We talked to college…
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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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