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A great discussion about the relationship between AI and data visualization (more on it). Will we need a speedometer to visualize how fast a car is going when it’s driving itself?

The software will instantly turn a couple of lines into a gorgeous mountaintop sunset. This is MS Paint for the AI age. More about it. V2 can use a text prompt to generate images. It transformed into Nvidia Canvas tool later. Scribble Diffusion is a similar idea.

AI is like photography in the 19th century–struggling to be accepted as its own art form. Aaron Hertzmann discusses tricky situations in art world.

One-click intelligent design image generation, intelligent layout, size expansion, color expansion, and other design services. Users can generate multiple sets of design solutions that meet the requirements in real time by simply inputting the desired style and size. More about it.

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).

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.

IBM designers created a practical guide for designers & developers for building and using AI systems.

The AI looks for three types of manipulation: cloning, splicing and removal. See also their new research and a checklist by Kyle McDonald.

Christopher Noessel analyzed sci-fi movies to understand how they portray AI. He published a comparison table.