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New
The latest blog posts to take off on Hacker News. 6,337 posts.
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Autonomous Weapons: An Open Letter from AI and Robotics Researchers
2016 (>30k signatures) open letter for AI and Robotics researchers calling for ban on offensive autonomous weapons beyond meaningful human control.
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A Neural Network in 11 Lines of Python
A machine learning craftsmanship blog.
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Computer program fixes old code faster than expert engineers
Computer scientists at MIT have developed a program called Helium that can automatically revamp and fine-tune old code, without needing the original source, in a matter of hours or even minutes.
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Understanding Neural Networks Through Deep Visualization
Research portfolio and personal page for Jason Yosinski
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Why Deep Learning Works II: the Renormalization Group
Deep Learning is amazing. But why is Deep Learning so successful? Is Deep Learning just old-school Neural Networks on modern hardware? Is it just that we have so much data now the methods work b…
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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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Abstractions my Deep Learning word2vec model made
A blog on programming C#, REST, WCF, ASP.NET Web API and software architecture
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Recommending items to more than a billion people
Visit the post for more.
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Rationality: From AI to Zombies
A series by Eliezer Yudkowsky
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The Unreasonable Effectiveness of Recurrent Neural Networks
Musings of a Computer Scientist.
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Using Waifu2x to Upscale Japanese Prints
In my spare time I’ve been working on a database of Japanese prints for a little over 3.5 years now. I’m fully aware that I’ve never actually written about this, personally very important, project on my blog — until now. Unfortunately this isn’t a post explaining that project. I do still hope to write more about the…
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Top data mining algorithms in plain English
Today, I'm going to explain in plain English the top 10 most influential data mining algorithms as voted on by 3 separate panels in this survey paper. Once you know what they are, how they work, what they do and where you ... Read More
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Hyperlapse makes first-person videos smooth and speedy
Professional photographer Nick Didlick always wanted to make a great ski movie, but he had long been stymied by the need for two things: Tons of pricey camera gear, and plenty of time to shoot.
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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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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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NHL goal celebration hack: real-time machine learning and hue light show
This post does a deep dive on the **epic goal celebration hack**. In a single sentence, I trained a machine learning model to detect in real-time that a goal was just scored by the Habs based on the live audio feed of a game and to trigger a light show using Philips hues in my living room.
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Probabilistic programming does in 50 lines of code what used to take thousands
MIT researchers demonstrate probabilistic programming that does in 50 lines of code what used to take thousands.
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The State of Probabilistic Programming
For two weeks last July, I cocooned myself in a hotel in Portland, OR, living and breathing probabilistic programming as a “student” in the probabilistic programming summer school run by DARPA. The…
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Deep Learning vs. Probabilistic Graphical Models vs. Logic
A Blog about Deep Learning, Computer Vision, and the algorithms that are shaping the future of Artificial Intelligence.
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Amazon Machine Learning – Make Data-Driven Decisions at Scale
Today, it is relatively straightforward and inexpensive to observe and collect vast amounts of operational data about a system, product, or process. Not surprisingly, there can be tremendous amounts of information buried within gigabytes of customer purchase data, web site navigation trails, or responses to email…
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Deep Learning, NLP, and Representations
neural networks , deep learning , representations , NLP , recursive neural networks
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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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Deep Learning vs. Machine Learning vs. Pattern Recognition
For Data Scientists: Machine Learning vs Deep Learning discussion, Deep Learning vs Machine Learning, and what is difference between machine learning, pattern recognition, computer vision, robotics, and artificial intelligence.