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How Kalman Filters Work
This articles describes how Kalman filters and other state estimation techniques work, focusing on building intuition and pointing out good implementation techniques.
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Graph-Powered Machine Learning at Google
Posted by Sujith Ravi, Staff Research Scientist, Google ResearchRecently, there have been significant advances in Machine Learning that enable comp...
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A Beginner's Guide to Understanding Convolutional Neural Networks
Engineering at Forward | UCLA CS '19
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Facebook AI Research Team Open Source DeepMask and SharpMask
Visit the post for more.
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Image Kernels explained visually
An image kernel is a small matrix used to apply effects like the ones you might find in Photoshop or Gimp, such as blurring, sharpening, outlining or embossing. They're also used in machine learning for 'feature extraction', a technique for determining the most important portions of an image. In this context the…
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Open-sourcing DeepMind Lab
DeepMind's scientific mission is to push the boundaries of AI, developing systems that can learn to solve any complex problem without needing to be taught how.
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Machine Learning in a Year
From being a total ml noob to start using it at work
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Generative Models
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…
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Google Cloud Vision API enters Beta
Today, we're announcing the beta release of Google Cloud Vision API . Now anyone can submit their images to the Cloud Vision API to understand the contents of those images — from detecting everyday objects (for example, “sports car,” “sushi,” or “eagle”) to reading text within the image or identifying product logos.
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Major advancements in Deep Learning in 2016
Deep Learning has been the core topic in the Machine Learning community the last couple of years and 2016 was not the exception. In this article, we will go through the advancements we think have contributed the most (or have the potential) to move the field forward and how organizations and the community are making…
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Sam Altman talks with Mark Zuckerberg about how to build the future [video]
Read more on Y Combinator's blog.
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Machine Learning Crash Course: Part 1
Machine Learning at Berkeley is a student organization at UC Berkeley. Click to read ML@B Blog, by Machine Learning at Berkeley, a Substack publication with thousands of subscribers.
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We built voice modulation to mask gender in technical interviews
We built software to mask gender in technical engineering interviews. See what we learned and why it matters.
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Google launches voice typing in Google Docs
Edit and format your documents — all without touching your keyboard.
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Boosting Sales with Machine Learning
How we use natural language processing to qualify leads
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GPUs for Google Cloud Platform
CPU-based machines in the cloud are terrific for general purpose computing, but certain tasks such as rendering or large-scale simulations are much faster on specialized processors. Graphics Processing Units (GPUs) contain hundreds of times as many computational cores as CPUs and are great at accelerating risk…
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Deep Learning Enables You to Hide Screen When Your Boss Is Approaching
Discover how advanced deep learning technologies offer revolutionary screen privacy solutions in the workplace. Learn to safeguard your digital space with ease.
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How to Get a Job in Deep Learning
Explore resources and tools created to inspire creativity, perform deep learning, and equip your company with Voice AI best practices.
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Supercharging Style Transfer
Posted by Vincent Dumoulin*, Jonathon Shlens and Manjunath Kudlur, Google Brain TeamPastiche. A French word, it designates a work of art that imita...
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Announcing YouTube-8M: A Large and Diverse Labeled Video Dataset for Research
Posted by Sudheendra Vijayanarasimhan and Paul Natsev, Software EngineersMany recent breakthroughs in machine learning and machine perception have ...
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Open Source Speech Recognition
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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Some of the most important deep learning papers
Engineering at Forward | UCLA CS '19
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Found in translation: More accurate, fluent sentences in Google Translate
In 10 years, Google Translate has gone from supporting just a few languages to 103, connecting strangers, reaching across language barriers and even helping people find …