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New
The latest blog posts to take off on Hacker News. 6,335 posts.
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GitHub releases an ImageNet for code and a CodeSearchNet challenge
We’re announcing the CodeSearchNet Challenge and releasing a large dataset for natural language processing and machine learning.
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Scott’s Supreme Quantum Supremacy FAQ
You’ve seen the stories—in the Financial Times, Technology Review, CNET, Facebook, Reddit, Twitter, or elsewhere—saying that a group at Google has now achieved quantum computation…
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The BeagleBone AI is Available
BeagleBoard.org Foundation is a Michigan, USA-based 501(c)(3) non-profit corporation existing to provide education in and collaboration around the design and use of open-source software and hardware in embedded computing.
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AI competitions don’t produce useful models
Ai competitions are fun, community building, talent scouting, brand promoting, and attention grabbing. But competitions are not intended to develop useful models.
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Welcoming Semmle to GitHub
Today we’re announcing a big step in securing the open source supply chain: we’re welcoming Semmle to the GitHub family.
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Emergent Tool Use from Multi-Agent Interaction
We’ve observed agents discovering progressively more complex tool use while playing a simple game of hide-and-seek. Through training in our new simulated hide-and-seek environment, agents build a series of six distinct strategies and counterstrategies, some of which we did not know our environment supported. The…
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Gaussian Processes, not quite for dummies
Before diving inFor a long time, I recall having this vague impression about Gaussian Processes (GPs) being able to magically define probability distributions over sets of functions, yet I procrastinated reading up about them for many many moons. However, as always, I’d like to think that this is not just due to my…
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Building a license plate reader from scratch with deep learning
Learn about attention mechanisms and how they are applied for text recognition tasks. We will also use tensorflow attention ocr to train our own number plate reader.
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Dungeon crawling or lucid dreaming?
I’ve done several experiments with a text-generating neural network called GPT-2. Trained at great expense by OpenAI (to the tune of tens of thousands of dollars worth of computing power), GPT-2 learned to imitate all kinds of text from the internet. I’ve interacted with the basic model, discovering its abilities to…
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Natural Language in Python Using SpaCy: An Introduction
Deep dive into python spacy with code examples, real-world applications, and expert insights for data science practitioners.
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Mayo Clinic to partner with Google
Google Cloud will be at the cornerstone of Mayo Clinic’s digital transformation as it looks to the cloud to enhance patient and clinician experiences, improve diagnostics and patient outcomes, and expand its unparalleled clinical research.
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Enabling developers and organizations to use differential privacy
Whether you're a city planner, a small business owner, or a software developer, gaining useful insights from data can help make services work better and answer important questions. But, without strong privacy protections, you risk losing the trust of your citizens, customers, and users.
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A 2019 Guide for Automatic Speech Recognition
Computer-based processing and identification of human voices is known as speech recognition. It can be used to authenticate users in certain systems, as well as provide instructions to smart devices like the Google Assistant, Siri or Cortana. Essentially, it works… Continue reading A 2019 Guide for Automatic Speech…
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On-Device, Real-Time Hand Tracking with MediaPipe
Posted by Valentin Bazarevsky and Fan Zhang, Research Engineers, Google Research The ability to perceive the shape and motion of hands can be a v...
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Natural Language Processing: The Age of Transformers
This article is the first installment of a two-post series on Building a machine reading comprehension system using the latest advances in deep learning for NLP.
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A 2019 Guide to Speech Synthesis with Deep Learning
Artificial production of human speech is known as speech synthesis. This machine learning-based technique is applicable in text-to-speech, music generation, speech generation, speech-enabled devices, navigation systems, and accessibility for visually-impaired people. In this article, we’ll look at research and model……
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Exploring Weight Agnostic Neural Networks
Posted by Adam Gaier, Student Researcher and David Ha, Staff Research Scientist, Google Research, Tokyo When training a neural network to accompl...
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Fast Tensors in Clojure – A Sneak Peek
There's a lot going on behind the scenes, since I am not only writing the books; at the same time I have to create the software to write about. For example, ...
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Learning to prove theorems via interacting with proof assistants
Learning to prove theorems via interacting with proof assistants Yang & Deng, ICML’19 Something a little different to end the week: deep learning meets theorem proving! It’s been a while …
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Transformers from Scratch
Repository for personal website
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OpenGPT-2: We Replicated GPT-2 Because You Can Too
By Aaron Gokaslan* and Vanya Cohen*
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Deep Learning Illustrated: Building Natural Language Processing Models
A hands-on guide to natural language processing with Keras. Covers word2vec, sentiment classification, CNNs, RNNs, and LSTMs using the IMDb dataset in Python.
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How to Start with Machine Learning
In this article, I'd like to tell you how to start with machine learning, and what to do to learn algorithms that will help you to build smart apps.
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