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Machine Learning in Google Bigquery
Posted by Umar Syed and Sergei Vassilvitskii, Research Scientists, Google AI, NYC Google BigQuery allows interactive analysis of large datasets, ma...
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OpenAI Five: Goals and Progress
OpenAI Five is the first AI to beat the world champions in an esports game, having won two back-to-back games versus the world champion Dota 2 team, OG, at Finals this weekend. Both OpenAI Five and DeepMind’s AlphaStar had previously beaten good pros privately but lost their live pro matches, making this also the…
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The UX of AI
Explore Google Design’s human-centered approach to UX design for AI. Learn how Google Clips uses ML for user-friendly, private experiences. Discover more.
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PyTorch – Internal Architecture Tour
Update 28 Feb 2019: I added a new blog post with a slide deck containing the presentation I did for PyData Montreal. Introduction Short intro to Python extension objects in C/C++ Zero-copy PyTorch Tensor to Numpy and vice-versa Tensor Storage Shared Memory DLPack: a hope for the Deep Learning frameworks Babel…
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A Ray-Tracing Pioneer Explains How He Stumbled into Global Illumination
NVIDIA RTX Spark powers thin and light laptops built for everything that developers, creators and gamers do. RTX Spark laptops are now available from ASUS, Dell, HP, Lenovo, Microsoft and...
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Cloud AutoML: Making AI accessible to every business
To make AI accessible to every business, we’re introducing Cloud AutoML, which helps businesses with limited ML expertise start building their own high-quality custom mo…
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Improving Language Understanding with Unsupervised Learning
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Understanding Deep Learning Through Neuron Deletion
Deep neural networks are composed of many individual neurons, which combine in complex and counterintuitive ways to solve a wide range of challenging tasks. This complexity grants neural networks their power but also earns them their reputation as confusing and opaque black boxes.
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AlphaFold at CASP13: What just happened?
Update: An updated version of this blogpost was published as a (peer-reviewed) Letter to the Editor at Bioinformatics, sans the “sociology” commentary. I just came back from CASP13, the…
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ML Beyond Curve Fitting: An Intro to Causal Inference and Do-Calculus
Since writing this post back in 2018, I have extended this to a 4-part series on causal inference: * ➡️️ Part 1: Intro to causal inference and do-calculus [https://www.inference.vc/untitled] * Part 2: Illustrating Interventions with a Toy Example…
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Deep code search
Deep code search Gu et al., ICSE’18 The problem with searching for code is that the query, e.g. “read an object from xml,” doesn’t look very much like the source code snippets tha…
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Executing gradient descent on the earth
A common analogy for explaining gradient descent goes like the following: a person is stuck in the mountains during heavy fog, and must navigate their way down. The natural way they will approac......
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Interactive GPU Programming, Part 1: Hello CUDA
Today, fast number crunching means parallel programs that run on Graphical Processing Units (GPUs). Thanks to the recent highly publicized deep learning and ...
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Counting Bees on a Raspberry Pi with a ConvNet
the first thing i thought when we setup our bee hive was "i wonder how you could count the number of bees coming and going?"
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How AI Training Scales
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Horizon: Facebook’s Open Source Applied Reinforcement Learning Platform
In this paper we present Horizon, Facebook’s open source applied reinforcement learning (RL) platform. Horizon is an end-to-end platform designed to solve industry applied RL...
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Asylo: an open-source framework for confidential computing
Protecting data is the number one consideration when running workloads in the cloud. While cloud infrastructures offer numerous security controls, some enterprises want additional verifiable isolation for their most sensitive workloads—capabilities which have become known as confidential computing. Today we’re excited…
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Spinning Up in Deep RL
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Thoughts On Machine Learning Accuracy
This blog shares some brief thoughts on machine learning accuracy and bias. Let’s start with some comments about a recent ACLU blog in which they ran a facial recognition trial. Using Rekognition, the ACLU built a face database using 25,000 publicly available arrest photos and then performed facial similarity searches…
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An Easier Way to Build Alexa Skills Using Python
Amazon Apps & Services Developer Portal
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Extracting Structured Data from Recipes Using Conditional Random Fields (2015)
Erica Greene describes the tool that she built to extract structured data from recipes.