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OpenAI Five Benchmark: Results
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
New
The latest blog posts to take off on Hacker News. 6,335 posts.
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Algorithm recovers speech from a potato-chip bag filmed through glass (2014)
Algorithm recovers speech from the vibrations of a potato-chip bag filmed through soundproof glass.
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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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Learning Math for Machine Learning
Vincent Chen is a student at Stanford University studying Computer Science. He is also a Research Assistant at the Stanford AI Lab. -------------------------------------------------------------------------------- It’s not entirely clear what level of mathematics is necessary to get started in machine learning…
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Evolving Floorplans
Evolving Floorplans - 2017.
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Learning Dexterity
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Machine Learning for Drummers
TL;DR: In this post, I build an app that classifies whether an audio sample is a kick drum, snare drum, or other drum sample with 87% accuracy using 🎉machine learning. 🎉
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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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Amazon’s Face Recognition Falsely Matched 28 Members of Congress with Mugshots
Amazon’s face surveillance technology is the target of growing opposition nationwide, and today, there are 28 more causes for concern. In a test the ACLU recently conducted of the facial recognition tool, called “Rekognition,” the software incorrectly matched 28 members of Congress, identifying them as other people…
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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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AI and Blockchain: An Introduction
At the kind invitation of Rob May and the Botchain team, I had the opportunity recently to keynote Brains and Chains, an interesting conference in New York expl
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Autopsy of a deep learning paper
Introduction I read a lot of deep learning papers, typically a few/week. I've read probably several thousands of papers. My general problem with papers in machine learning or deep learning is that often they sit
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Facebook AI Research Expands with New Academic Collaborations
This article originally appeared on newsroom.fb.com. We created Facebook AI Research over four years ago to focus on advancing the science and technology of AI, and we’ve always done this by…
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OpenAI Five Benchmark
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Reproducible machine learning with PyTorch and Quilt
In this article, we'll use Quilt to transfer versioned training data to a remote machine. We'll start with the Berkeley Segmentation Dataset, package the dataset, then train a PyTorch model for super-resolution imaging.
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Improving Connectomics by an Order of Magnitude
Posted by Viren Jain, Research Scientist and Technical Lead and Michal Januszewski, Software Engineer, Connectomics at Google The field of connecto...
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How should we evaluate progress in AI?
Improving artificial intelligence research with scientific testing, design practice, and meta-rational choice of methods and criteria
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Measuring abstract reasoning in neural networks
Neural network-based models continue to achieve impressive results on longstanding machine learning problems, but establishing their capacity to reason about abstract concepts has proven difficult. Building on previous efforts to solve this important feature of general-purpose learning systems, our latest paper sets…
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Building a Program Synthesizer
Build a program synthesis tool, to generate programs from specifications, in 20 lines of code using Rosette.
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Troubling Trends in Machine Learning Scholarship
By Zachary C. Lipton* & Jacob Steinhardt* *equal authorship Originally presented at ICML 2018: Machine Learning Debates [arXiv link] Published in Communications of the ACM 1 Introduction Collectively, machine learning (ML) researchers are engaged in
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Glow: Better Reversible Generative Models
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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An AI system for editing music in videos
Given a video of a musical performance, CSAIL’s deep-learning system can make individual instruments louder or softer.
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Augmenting Long-term Memory
One day in the mid-1920s, a Moscow newspaper reporter named Solomon Shereshevsky entered the laboratory of the psychologist Alexander Luria. Shereshevsky's boss at the newspaper had noticed that Shereshevsky never needed to take any notes, but somehow still remembered all he was told, and had suggested he get his…
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Learning ‘Montezuma’s Revenge’ from a single demonstration
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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A New Angle on L2 Regularization
Deep neural networks have been shown to be vulnerable to the adversarial example phenomenon: all models tested so far can have their classifications dramatically altered by small image perturbations . The following predictions were for instance made by a state-of-the-art network trained to recognize celebrities :