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Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 153 posts.
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How we built the Waifu Vending Machine
On the weekend of Anime Expo, an artist promised the humanly impossible -- custom art commissions with a five-minute turnaround time. The not-so-hidden catch? The artist wasn't a human at all, but an AI exposed to millions of anime images.
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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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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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Aroma: Using machine learning for code recommendation
Aroma is a code-to-code search and recommendation tool that uses ML to make the process of gaining insights from big codebases much easier.
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TensorFlow Graphics: Computer Graphics Meets Deep Learning
Posted by Julien Valentin and Sofien Bouaziz
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The Machine Learning Software Engineering Interview
Iterations on revealing recurring patterns of thought, feeling, and behavior
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OpenAI releases larger GPT-2 model
We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarization—all without task-specific training.
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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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Model beats Wall Street analysts in forecasting business financials
MIT researchers have developed an automated machine-learning model that uses probability techniques to significantly outperform human Wall Street analysts in predicting quarterly business sales.
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Moving Camera, Moving People: A Deep Learning Approach to Depth Prediction
Posted by Tali Dekel, Research Scientist and Forrester Cole, Software Engineer, Machine Perception The human visual system has a remarkable abili...
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Speedgate: World’s First Sport Generated by AI
Developers from AKQA, a global innovation agency most known for working with some of the hottest brands and public figures, trained a recurrent neural network and a deep convolutional generative…
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DiffEqFlux.jl – A Julia Library for Neural Differential Equations
DiffEqFlux.jl – A Julia Library for Neural Differential Equations...
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Smarter Training of Neural Networks
These days, nearly all the artificial intelligence-based products in our lives rely on “deep neural networks” that automatically learn to process labeled data.
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More Data Is Not Better and Machine Learning Is a Grind
I had an opportunity to sit in on a lecture today by two experts on Machine Learning from Amazon, during a lecture at UNC. Ed Banti is Director of Software Development, Core AI Amazon, and Pat Bajari, was VP and Chief Economist, Core AI, at Amazon as well. Both gentlemen shared their insights on working with AI…
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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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Shareable Jupyter Notebooks That Run on Free Cloud GPUs
Gradient Community Notebooks provide free GPUs with pre-configured environments for machine learning and deep learning projects.
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Google open sourced GPipe, a library for training large ML models
Posted by Yanping Huang, Software Engineer, Google AI Deep neural networks (DNNs) have advanced many machine learning tasks, including speech rec...
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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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Combine statistical and symbolic artificial intelligence techniques
MIT researchers show that merging statistical and symbolic artificial intelligence promises to enable computers to reason more like humans. Their hybrid model can learn object-related concepts like color and shape, and leverage that knowledge to interpret complex relationships.
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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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OpenCV-Python Cheat Sheet: From Importing Images to Face Detection
What is OpenCV-Python? OpenCV is an open source computer vision and machine learning library. It has 2500+ optimized algorithms—a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. It has many interfaces, including Python, Java, C++,… Continue reading OpenCV-Python…