About two weeks ago, we introduced TensorFlow Probability (TFP), showing how to create and sample from distributions and put them to use in a Variational Autoencoder (VAE) that…
Artificial intelligence
Introduction India’s startup scene has been on the rise in recent years, with the country now home to some of the world’s most innovative and exciting new companies….
Here, stereotypically, is the process of applied deep learning: Gather/get data; iteratively train and evaluate; deploy. Repeat (or have it all automated as a continuous workflow). We often…
Python is a very popular programming language, and in order to learn this programming language, you first need to install Python on your system. There are some systems…
Human languages are notoriously complex, and linguists have long thought it would be impossible to teach a machine how to analyze speech sounds and word structures in the…
This article translates Daniel Falbel’s ‘Simple Audio Classification’ article from tensorflow/keras to torch/torchaudio. The main goal is to introduce torchaudio and illustrate its contributions to the torch ecosystem….
Exploring a new way to teach robots, Princeton researchers have found that human-language descriptions of tools can accelerate the learning of a simulated robotic arm lifting and using…
Microcontrollers, miniature computers that can run simple commands, are the basis for billions of connected devices, from internet-of-things (IoT) devices to sensors in automobiles. But cheap, low-power microcontrollers…
The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 Sam Bankman-Fried’s top associates have pleaded guilty to fraudThey’ve agreed to cooperate…
Posted by Rodrigo Benenson, Research Scientist, Google Research Open Images is a computer vision dataset covering ~9 million images with labels spanning thousands of object categories. Researchers around…