A great visual overview of machine learning basics by Stephanie Yee and Tony Chu.

A terrific article by Fabien Girardin. He shows how designers can work together with big data analysts to benefit from machine learning.

Jon Bruner gives a good example: A genetic algorithm starts with a fundamental description of the desired outcome — say, an airline’s timetable that is optimized for fuel savings and passenger convenience.

Parametric typography based on the idea of interpolation from several key variables: weight, width, and optical size. In 2016 it became a part of OpenType format specification. Previously, it was only possible to use variable fonts on the web through hacks or via desktop tools like Robofont.

Wolff Olins presented a live identity for Brazilian telecom Oi, which reacts to sound. You just can’t create crazy stuff like this without some creative collaboration with algorithms.

A smart platform that uses Adobe’s deep expertise in AI and machine learning, and it will be the foundation for future algorithm-driven design features in Adobe’s consumer and enterprise products: semantic image segmentation, font recognition, and intelligent audience segmentation. Scott Prevost sees 3 ways to apply it to designers workflow.

2016 release of Photoshop has a content-aware feature that intelligently fills in the gaps when you use the cropping tool to rotate an image or expand the canvas beyond the image’s original size.

An experimental tool that creates a 3D model out of sketch.

It helps to refine fashion design. You can sketch changes to a bag or a shoe and see how it could look in a real product.

IBM Watson helped 20th Century Fox to create en engaging movie trailer. Looks like they're using this experiment at scale now.