A promotional image generator for e-commerce product lists. A marketer fills a simple form with a title and an image, and then the generator proposes an endless number of variations, all of which conform to design guidelines.

A script crops movie characters for posters, then applies a stylized and localized movie title, then runs automatic experiments on a subset of users. Real magic! A new version started to personalize a poster image for different users (i.e., to show a particular actor or just a mood).

Tate Modern and Microsoft collaborated on an exhibition where a machine learning algorithm selected artworks from museum's collection. Philipp Shmitt did a similar experiment with a photo album.

A review of high-tech shoe initiatives by Nike, adidas, New Balance, and Under Armour.

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

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.

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.

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

A good article series by Rob Girling from Artefact. He looks at skills that can be automated and tries to predict the future of design as s profession.

McKinsey analyzed 800 jobs to find how easily they can be automated. Lots of interesting insights. Here's a website to check your job. It started to happen with creative jobs in 2023 (see examples: IBM, Axel Springer, Bluefocus Intelligent Communications Group Co.).