Every blog post that took off on Hacker News, ranked by the votes of its best submission. 326 posts.
Teachable Machine, an experiment that makes it easier for anyone to explore machine learning. Teach a machine using your camera – live in the browser, no coding required.
Ever since Deep Learning hit the scene in speech recognition, word error rates have fallen dramatically. But despite articles you may have read, we still don’t have human-level speech recognition. Speech recognizers have many failure modes. Acknowledging these and taking steps towards solving them is critical to…
A guide to Natural Language Processing (NLP): how to analyze text, extract information and understand documents written in a natural language
Python Programming tutorials from beginner to advanced on a massive variety of topics. All video and text tutorials are free.
A detailed analysis
An extensive tutorial on how to implement a neural network in JavaScript with deeplearn.js to perform machine learning in JavaScript. You can bring neural networks to your browser by using the performance benefits of WebGL. Deeplearn.js makes it possible to implement a WebGL powered neural network ...
Today, we’re releasing a preview of a new SDK called ARCore. It brings augmented reality capabilities to existing and future Android phones. Developers can start experim…
Posted by Florian Kainz, Software Engineer, Google DaydreamOn a full moon night last year I carried a professional DSLR camera, a heavy lens and a ...
How we beat the state of the art to build a real-life A.I. app.
In the fall of 2016, I was a Teaching Fellow (Harvard's version of TA) for the graduate class on "Advanced Topics in Data Science (CS209/109)" at Harvard University. I was in-charge of designing the class project given to the students, and this tutorial has been built on top of the project I designed for the class.
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
Posted by Zak Stone, Product Manager for TensorFlowResearchers require enormous computational resources to train the machine learning (ML) models t...
If you ask 100 people for the definition of “artificial intelligence,” you’ll get at least 100 answers, if not more. At AWS, we define it as a service or system which can perform tasks that usually require human-level intelligence such as visual perception, speech recognition, decision making, or translation. On this…
Posted by Jonathan Huang, Research Scientist and Vivek Rathod, Software Engineer (Cross-posted on the Google Open Source Blog) At Google, we develo...
We’re excited to introduce a new series we’re calling Paths [https://ycombinator.wpengine.com/category/paths/]. Each post will outline an emerging technology and give you clear steps on how to get started in that field. This series was designed with makers and aspiring entrepreneurs in mind. We talked to college…
Interest in machine learning may be at an all-time high. Per Google Trends, people are searching for machine learning nearly five times as often as five years ago. And at the University of California San Diego (UCSD),
Reinforcement Learning
We recently introduced our report on probabilistic programming. The accompanying prototype allows you to explore the past and future of the New York residential real estate market. This post gives a feel for the content in our report by introducing the algorithms and technology that make probabilistic programming…
Posted by David Weiss and Slav Petrov, Research ScientistsAt Google, we continuously improve the language understanding capabilities used in applic...
