How HBO’s Silicon Valley Built “Not Hotdog” with TensorFlow, Keras and React Native
How we beat the state of the art to build a real-life A.I. app.
The latest blog posts to take off on Hacker News. 6,337 posts.
How we beat the state of the art to build a real-life A.I. app.
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…
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…
Launch your business with WordPress or Website Builder using AI tools, templates, and reliable hosting.
Posted by Jonathan Huang, Research Scientist and Vivek Rathod, Software Engineer (Cross-posted on the Google Open Source Blog) At Google, we develo...
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Facebook published a paper today detailing how they are able to train nearly 1.3 million images in under an hour using 256 Tesla P100 GPUs that previously took days on a single system.
Can we teach a neural network to perform like a human?
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
This is a guest post by Dana Van Aken, Andy Pavlo, and Geoff Gordon of Carnegie Mellon University. This project demonstrates how academic researchers can leverage our AWS Cloud Credits for Research Program to support their scientific breakthroughs. Database management systems (DBMSs) are the most important component…
Today we’re rolling out new features in Sheets that make it even easier for you to visualize and share your data, and find insights your teams can act on.
A journey into making Stack Overflow job search results relevant to you
Bayesian inference is a way to get sharper predictions from your data. It’s particularly useful when you don’t have as much data as you would like and want to juice every last bit of predictive strength from it.
With just three stones on the board, it was clear that this was going to be no ordinary game of Go.
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
Principal component analysis (PCA) is a technique used to emphasize variation and bring out strong patterns in a dataset. It's often used to make data easy to explore and visualize.
Here, I provide an in-depth analysis of GPUs for deep learning/machine learning and explain what is the best GPU for your use-case and budget.
In a previous post, we described the details of NSynth (Neural Audio Synthesis), a new approach to audio synthesis using neural networks. We hinted at furthe...
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.