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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…
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Intel Introduces Neuromorphic Test Chip
Intel Newsroom delivers the latest news, announcements, and updates. Stay informed on Intel innovations.
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Taming Recurrent Neural Networks for Better Summarization
This blog post is about the ACL 2017 paper Get To The Point: Summarization with Pointer-Generator Networks by Abigail See, Peter J Liu, and Christopher Manni...
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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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Neuralink and the Brain's Magical Future
I knew the future would be shocking but this is a whole other level.
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Deep Learning without Backpropagation
A machine learning craftsmanship blog.
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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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Tomáš Mikolov on Word2vec and AI research at Microsoft, Google, Facebook [audio]
Find, classify and remediate PII across your files, email, databases and cloud. Accurate AI-powered PII discovery – on-premise or SaaS.
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Exploring the mysteries of Go with AlphaGo and China’s top players
Just over a year ago, we saw a major milestone in the field of artificial intelligence: DeepMind’s AlphaGo took on and defeated one of the world’s top Go players, the legendary Lee Sedol. Even then, we had no idea how this moment would affect the 3,000 year old game of Go and the growing global community of devotees…
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Nonlinear Computation in Deep Linear Networks
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Artwork Personalization at Netflix
Artwork is the first instance of personalizing not just what we recommend but also how we recommend.
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Causality in machine learning
By OMKAR MURALIDHARAN, NIALL CARDIN, TODD PHILLIPS, AMIR NAJMI Given recent advances and interest in machine learning, those of us with tr...
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Smart Photos
We’re on a mission to keep the magic of human connection alive. Learn more about life at Tinder and the many ways we're igniting our impact—for our employees and the millions of people seeking connection on our app.
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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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The Amazing Power of Word Vectors (2016)
For today’s post, I’ve drawn material not just from one paper, but from five! The subject matter is ‘word2vec’ – the work of Mikolov et al. at Google on efficient vect…
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Understanding Agent Cooperation
We employ deep multi-agent reinforcement learning to model the emergence of cooperation. The new notion of sequential social dilemmas allows us to model how rational agents interact, and arrive at more or less cooperative behaviours depending on the nature of the environment and the agents’ cognitive capacity. The…
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Generating faces of cats using Generative Adversarial Networks
I experimented with generating faces of cats using Generative adversarial networks (GAN). I wanted to try DCGAN, WGAN and WGAN-GP in low and higher resolutions. I used the CAT dataset (yes this is …
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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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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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