1
New
The latest blog posts to take off on Hacker News. 205 posts.
2
3
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...
4
5
Artwork Personalization at Netflix
Artwork is the first instance of personalizing not just what we recommend but also how we recommend.
6
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.
7
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
8
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.
9
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…
10
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…
11
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
12
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…
13
14
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.
15
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…
16
SLING: A Natural Language Frame Semantic Parser
Posted by Michael Ringgaard, Software Engineer and Rahul Gupta, Research ScientistUntil recently, most practical natural language understanding (NL...
17
18
19
20
Fused Video Stabilization on the Pixel 2 and Pixel 2 XL
Posted by Chia-Kai Liang, Senior Staff Software Engineer and Fuhao Shi, Android Camera TeamOne of the most important aspects of current smartphones...
21
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.
22
23
24
TensorFlow r1.4
TensorFlow release 1.4 is now public - and this is a big one! So we're happy to announce a number of new and exciting features we hope everyone will enjoy.
25
26
How Adversarial Attacks Work
Emil Mikhailov is the founder of XIX.ai [http://XIX.ai] (YC W17). Roman Trusov is a researcher at XIX.ai. Recent studies by Google Brain have shown that any machine learning classifier can be tricked to give incorrect predictions, and with a little bit of skill, you can get them to give pretty much any result you…
27
28
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.
29
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...
30