AI
Yesterday at lunch a friend asked me what tech trend he should pay attention to but was probably ignoring. Without thinking much I said “artificial intelligence”, but having thought about that a...
Extracting audio from visual information
Algorithm recovers speech from the vibrations of a potato-chip bag filmed through soundproof glass.
Hacker's Guide to Neural Networks
Musings of a Computer Scientist.
The latest chapter for the self-driving car: mastering city street driving
Over the last year we’ve shifted the focus of the Google self-driving car project onto mastering city street driving.
Google's Street View computer vision can beat reCAPTCHA with 99% accuracy
Posted by Vinay Shet, Product Manager, reCAPTCHA Have you ever wondered how Google Maps knows the exact location of your neighborhood cof...
Neglected machine learning ideas
This post is inspired by the “metacademy” suggestions for “leveling up your machine learning.” They make some halfway decent suggestions for beginners. The problem is, thes…
Parsing English with 500 lines of Python (2013)
A syntactic parser describes a sentence’s grammatical structure, to help another application reason about it. Natural languages introduce many unexpected ambiguities, which our world-knowledg…
Extending Van Gogh’s Starry Night with Inpainting
Digital inpainting can extend or repair photos, artwork, and other images. See how it works in the Wolfram Language, and try it yourself.
Neural Networks, Manifolds, and Topology
Recently, there’s been a great deal of excitement and interest in deep neural networks because they’ve achieved breakthrough results in areas such as computer vision. 1
Hacking Flappy Bird with Machine Learning
This is a hack for the popular game, Flappy Bird. Although the game is no longer available on Google Play or the App Store, it did not stop folks from creating very good replicas for the web. People have also created some interesting variants of the game - Flappy Bird Typing Tutor and Flappy Math Saga.
Building a deeper understanding of images
Posted by Christian Szegedy, Software EngineerThe ImageNet large-scale visual recognition challenge (ILSVRC) is the largest academic challenge in c...
Turing Test Success
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A Tour of Machine Learning Algorithms
Tour of Machine Learning Algorithms: Learn all about the most popular machine learning algorithms.
Ccv open sources near state-of-the-art image classifier under Creative Commons
In previous posts, I mentioned that the even numbered release will be bugfixes. However, 0.6 is a bit different.
Facebook's Top Open Data Problems
At Meta, research permeates everything we do. We believe the most interesting research questions are derived from real world problems.
Low Light and High Dynamic Range photography in the Google Camera App
Posted by Marc Levoy, Google[x] Software Engineering Manager and Professor Emeritus, Stanford University As anybody who has tried to use a smartpho...
Machine Learning in JavaScript
I love machine learning algorithms. I've taught classes and seminars and given talks on ML. The subject is fascinating to me, but like all skills fascination simply isn't enough. To get good at something, you need to practice! I also happen to be a PHP and JavaScript developer.
My Conversation with “Eugene Goostman”
If you haven’t read about it yet, “Eugene Goostman” is a chatbot that’s being heavily promoted by the University of Reading’s Kevin Warwick, for fooling 33% of judges …
Microsoft demos breakthrough in real-time translated conversations
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Deep learning for chess
Erik Bernhardsson
Isolating Football Player Movement by Eliminating Camera Motion
Note: This post departs from the general format used on this blog. That's because the post is not about a specific analysis I've done bu...
How to Conquer Tensorphobia
A professor at Stanford once said, If you really want to impress your friends and confound your enemies, you can invoke tensor products… People run in terror from the $ \otimes$ symbol. He was explaining some aspects of multidimensional Fourier transforms, but this comment is only half in jest; people get confused by…
What does a neural network actually do?
There has been a lot of renewed interest lately in neural networks (NNs) due to their popularity as a model for deep learning architectures (there are non-NN based deep learning approaches based on…