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The Unreasonable Effectiveness of Recurrent Neural Networks
Musings of a Computer Scientist.
Most cited
Posts that commenters keep linking to, ranked by how many different people have cited them in Hacker News comments. 31 posts.
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Introducing OpenAI
OpenAI is a non-profit artificial intelligence research company. Our goal is to advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return. Since our research is free from financial obligations, we can better focus on a positive…
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The AI Revolution: Our Immortality or Extinction
Part 2: "Our Immortality or Our Extinction". When Artificial Intelligence gets superintelligent, it's either going to be a dream or a nightmare for us.
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Machine intelligence, part 1
This is going to be a two-part post—one on why machine intelligence is something we should be afraid of, and one on what we should do about it. If you’re already afraid of machine intelligence,...
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The state of Computer Vision and AI: we are really, really far (2012)
Musings of a Computer Scientist.
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Formal Theory of Creativity and Fun and Intrinsic Motivation Explains Science, Art, Music, Humor (Juergen Schmidhuber). Artificial Scientists, Artificial Artists, Developmental Robotics, Curiosity, Attention, Surprise, Novelty, Discovery, Open-Ended Learning, Formal Theory of Beauty, Creating Novel…
Formal Theory of Creativity & Fun & Intrinsic Motivation (1990-2010) by Jürgen Schmidhuber
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Deep Learning, NLP, and Representations
neural networks , deep learning , representations , NLP , recursive neural networks
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Rationality: From AI to Zombies
A series by Eliezer Yudkowsky
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Machine intelligence, part 2
This is part two of a a two-part post—the first part is here. THE NEED FOR REGULATION Although there has been a lot of discussion about the dangers of machine intelligence recently, there...
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Neural Networks, Types, and Functional Programming
Deep learning, despite its remarkable successes, is a young field. While models called artificial neural networks have been studied for decades, much of that work seems only tenuously connected to modern results.
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Neurons Gone Wild
To reject gods and spirits is easy: just bully them away in the name of science.
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Inceptionism: Going Deeper into Neural Networks
Posted by Alexander Mordvintsev, Software Engineer, Christopher Olah, Software Engineering Intern and Mike Tyka, Software EngineerUpdate - 13/07/20...
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A Neural Network in 11 Lines of Python
A machine learning craftsmanship blog.
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Should AI Be Open?
I. H.G. Wells’ 1914 sci-fi book The World Set Free did a pretty good job predicting nuclear weapons:They did not see it until the atomic bombs burst in their fumbling hands…before the l…
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How to trick a neural network into thinking a panda is a vulture
When I go to Google Photos and search my photos for ‘skyline’, it finds me this picture of the New York skyline I took in August, without me having labelled it!
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A conversation with Sussman on AI and asynchronous programming
A couple weeks ago I made it to the FSF's 30th anniversary party. It was a blast in many ways, and a good generator of many fond memories, but I won't go into depth of them here. One particularly exciting thing that happened for me though was I got to meet Gerald Sussman (of SICP !) The conversation has greatly…
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Understanding Neural Networks Through Deep Visualization
Research portfolio and personal page for Jason Yosinski
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Eigenvectors and eigenvalues explained visually
Eigenvalues/vectors are instrumental to understanding electrical circuits, mechanical systems, ecology and even Google's PageRank algorithm. Let's see if visualization can make these ideas more intuitive.
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What a Deep Neural Network thinks about selfies
Musings of a Computer Scientist.
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Auto-Generating Clickbait with Recurrent Neural Networks
Hey! If you are a web developer, you should know about CatchJS. It’s a service for tracking and logging errors in JavaScript, with some pretty exciting features. “F.D.R.’s War Pla…
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Scott Aaronson on Google’s new quantum-computing paper
MIT professor Scott Aaronson discusses new Google experiments that suggest the D-Wave computer exploits quantum phenomena.
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Images that fool computer vision raise security concerns
Computers are learning to recognize objects with near-human ability. But Cornell researchers have found that computers, like humans, can be fooled by optical illusions, which raises security concerns.
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Data Science from Scratch: First Principles with Python
I am super-excited to announce that the book I've been working on for more than the last year, Data Science from Scratch: First Principles with Python is finally available! (buy from O'Reilly, use...
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Facebook to open-source AI hardware design
Visit the post for more.
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Training a Neural Net to Generate CSS
A log of experiments done on the site design, intended to render pages more readable, focusing on the challenge of testing a static site, page width, fonts, plugins, and effects of advertising.
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