Industry news

The Building Blocks of Interpretability
The Building Blocks of Interpretability

With the growing success of neural networks, there is a corresponding need to be able to explain their decisions — including building confidence about how they will behave in the real-world, detecting…

Learn more
Feature-wise transformations
Feature-wise transformations

Many real-world problems require integrating multiple sources of information. Sometimes these problems involve multiple, distinct modalities of information — vision, language, audio, etc. — as is required to understand a scene in a movie…

Learn more
Differentiable Image Parameterizations
Differentiable Image Parameterizations

Neural networks trained to classify images have a remarkable — and surprising! — capacity to generate images. Techniques such as DeepDream , style transfer, and feature visualization leverage this capacity as a powerful tool…

Learn more
Distill Update 2018
Distill Update 2018

A little over a year ago, we formally launched Distill as an open-access scientific journal.Distill operated informally for several months before launching itself as a journal. It’s been an exciting…

Learn more