In a study of people interacting with systems built on machine-learning algorithms, users had weak mental models and difficulties making the UI do what they want.

Another Sensei experiment that selects and tracks an object in a video. I.e. you can put a text behind a dancer. See more MAX 2018 announces (Smooth Operator and Good Bones are the best).

Researchers from NVIDIA introduced a deep learning method that can edit images or reconstruct a corrupted image, one that has holes or is missing pixels.

Rama Allen says that human/AI collaboration is an aesthetic dialogue similar to that employed with improvisational jazz. It's a great thinking on what modern art could be.

They have the likeness of some of Xinhua's human anchors, but their voices, facial expressions and mouth movements are synthesized and animated using deep learning techniques.

A driving simulator that allows you to pilot a car through a city, from its buildings to its streets to its cars, is being created in real time by AI.

A collaborative generative art tool where users remix each others images. You can trace history of each image.

This bot generates images from caption-like text descriptions. It can be everything from ordinary pastoral scenes, such as grazing livestock, to the absurd, such as a floating double-decker bus.

An algorithm by Tom White draws abstract illustrations of real world objects. It's trained on photos and the result is close to usable in real products. It's a part of Google Artists and Machine Learning initiative (read its blog).

An experimental tool by Shaobo Guan generates realistic photos of people. You can alter gender, age, race, and some facial details. StyleGAN from Nvidia is one of many similar tools. There's even "Hot or Not"!