Wide and Deep Learning: Better Together with TensorFlow
Posted by Heng-Tze Cheng, Senior Software Engineer, Google ResearchThe human brain is a sophisticated learning machine, forming rules by memorizing...
The latest blog posts to take off on Hacker News. 6,337 posts.
Posted by Heng-Tze Cheng, Senior Software Engineer, Google ResearchThe human brain is a sophisticated learning machine, forming rules by memorizing...
We built software to mask gender in technical engineering interviews. See what we learned and why it matters.
Due to the recent achievements of artificial neural networks across many different tasks (such as face recognition, object detection and Go), deep learning has become extremely popular. This post aims to be a starting point for those interested in learning more about it.
As machine learning starts working, how does that change Google, Apple and the smartphone interface? What companies get reshaped around machine learning?
We (along with researchers from Berkeley and Stanford) are co-authors on today’s paper led by Google Brain researchers, Concrete Problems in AI Safety. The paper explores many research problems around ensuring that modern machine learning systems operate as intended.
OpenAI’s mission is to build safe AI, and ensure AI’s benefits are as widely and evenly distributed as possible.
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…
Posted by Emmanuel Mogenet, Head of Google Research, EuropeGoogle’s ongoing research in Machine Intelligence is what powers many of the products be...
Posts and writings by Datanice
Using JavaScript, we implement the k-Nearest Neighbors algorithm from the bottom up.
Update: This article is part of a series. Check out the full series: Part 1, Part 2, Part 3, Part 4, Part 5, Part 6, Part 7 and Part 8! You…
A video-trained system from MIT’s Computer Science and Artificial Intelligence Lab could help robots understand how objects interact with the world.
A Go implementation of a perceptron as the building block of neural networks and as the most basic form of pattern recognition and machine learning.
Machine learning for trading is a huge domain, but not all applications are practical in terms of making your money grow. Let's find out what really works!
Let's pretend we need to build a recommendation engine for an eCommerce web site. There are basically two approaches you can take: content-based and collaborative-filtering. We'll look at some...
watch time: 45 minutes “One person, in a literal garage, building a self-driving car.” That happened in 2015. Now to put that fact in context, compare this to 2004, when DARPA sponsored the very first driverless car Grand Challenge. Of the 20 entries they received then, the winning entry went 7.2 miles; in 2007, in...
In my previous post , I described some experiments I was doing to reduce images to a Bag of Visual Words (BOVW) . My goal is to build a Con...
Dango - Your Emoji Assistant
How we use natural language processing to qualify leads
Posted by Ken Conley and Matthias Grundmann, Machine PerceptionToday we are releasing Motion Stills, an iOS app from Google Research that acts as a...
A few weeks ago, I attended the Seven Pines Symposium on Fundamental Problems in Physics outside Minneapolis, where I had the honor of participating in a panel discussion with Sir Roger Penrose. T…
I’m currently working on the Vaani project at Mozilla, and part of my work on that allows me to do some exploration around the topic of speech recognition and speech assistants. After looking at some of the commercial offerings available, I thought that if we were going to do some kind of add-on API, we’d be best off…
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