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The latest blog posts to take off on Hacker News. 3,242 posts.
Preserving Outputs Precisely while Adaptively Rescaling Targets
Multi-task learning - allowing a single agent to learn how to solve many different tasks - is a longstanding objective for artificial intelligence research. Recently, there has been a lot of excellent progress, with agents like DQN able to use the same algorithm to learn to play multiple games including Breakout and…
AI Can Transform Anyone Into a Professional Dancer
Think of it as style transfer for dancing, a deep learning based algorithm that can convincingly show a real person mirroring the moves of their favorite dancers. The work, developed by a team of…
PyTorch for Scientific Computing: Quantum Mechanics Example Part 2
This is the second post on using Pytorch for Scientific computing. I'm doing an example from Quantum Mechanics. In this post we go through the formulas that need to coded and write them up in PyTorch and give everything a test.
The International 2018: Results
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Why OpenCV uses BGR color space (2015)
Learn the historical reason OpenCV stores color images in BGR order instead of RGB, from early camera formats to compatibility decisions.
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…
Shrinking Machine Learning Models for Offline Use
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OpenAI Five Benchmark: Results
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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.
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...
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…
Learning Dexterity
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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…
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…
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...
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…
OpenAI Five Benchmark
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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.
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...
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…
Glow: Better Reversible Generative Models
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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.