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Benchmarking TensorFlow on Cloud CPUs: Cheaper Deep Learning Than Cloud GPUs
Using CPUs instead of GPUs for deep learning training in the cloud is cheaper because of the massive cost differential afforded by preemptible instances.
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How to break a Captcha system in 15 minutes with Machine Learning
Let’s hack the world’s most popular Wordpress CAPTCHA Plug-in
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When not to use deep learning
I know it’s a weird way to start a blog with a negative, but there was a wave of discussion in the last few days that I think serves as a good hook for some topics on which I’ve been thinking recently. It all started with a post in the Simply Stats blog by Jeff Leek on the caveats of using deep learning in the small…
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An Interactive Introduction to Quantum Computing
This article was originally written in 2014, but has had some minor improvements in December 2017 and January 2018 when I received some useful feedback after the article had unexpectedly been posted on Hacker News in December 2017.
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More on Dota 2
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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An Even Easier Introduction to CUDA
A quick and easy introduction to CUDA programming for GPUs. This post dives into CUDA C++ with a simple, step-by-step parallel programming example.
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Roboschool: open-source software for robot simulation
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Fooling Neural Networks in the Physical World with 3D Adversarial Objects
We've developed an approach to generate 3D adversarial objects that reliably fool neural networks in the real world, no matter how the objects are looked at.
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The future of deep learning
This post is adapted from Section 3 of Chapter 9 of my book, Deep Learning with Python (Manning Publications).
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Help EFF Track the Progress of AI and Machine Learning
The field of machine learning and artificial intelligence is making rapid progress. Many people are starting to ask what a world with intelligent computers will look like. But what is the ratio of hype to real progress? What kinds of problems have been well solved by current machine learning techniques, which ones are…
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Open Philanthropy Project awards a grant of $30M to OpenAI
Coefficient has directed over $7 billion in grants since 2014. Our mission is to help others as much as we can with the resources available to us.
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Caffe2: Open Source Cross-Platform Machine Learning Tools
Training and deploying AI models is often associated with massive data centers or super computers, with good reason. The ability to continually process, create, and improve models from all kinds of information: images, video, text, and voice, at massive scale, is no small computing feat. Deploying these models on…
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IBM scientists demonstrate 10x faster large-scale machine learning using GPUs
The IBM Research blog is the home for stories told by the researchers, scientists, and engineers inventing What’s Next in science and technology.
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Deep Learning for Siri’s Voice
Siri is a personal assistant that communicates using speech synthesis. Starting in iOS 10 and continuing with new features in iOS 11, we…
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Building Safe AI: A Tutorial on Homomorphically Encrypted Deep Learning
A machine learning craftsmanship blog.
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Deep Text Correcter
Alex Paino's Personal Site and Blog
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Why I’m Remaking OpenAI Universe
OpenAI Universe was very exciting when it first came out. With Universe, it was suddenly possible to train AI to play Flash games, book flights online, and perform various other real-world tasks. Unfortunately, Universe never really took off in the AI world. I don’t know why others aren’t using Universe, but I can…
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OpenAI Baselines
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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How I Used Deep Learning to Train a Chatbot to Talk Like Me
Can you see the resemblance?