Like many examples of computation creativity, such as Google’s DeepDream technology, the generated images can be a bit trippy — although there’s no denying they get a lot right about the world.

Whether you’re training a machine learning model or using it for inference (classification, object detection, etc.), you’ll need to preprocess your image to fit the AI’s input requirements.

A research team led by Professor Takuya Yamamoto and Assistant Professor Ryusaku Matsumoto (Department of Life Science ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Stock image company Shutterstock, though, has developed one of the more novel implementations of this sort of technology: using machine learning to identify the layout of images.

Most [augmented reality] features are made possible thanks to machine learning […] Borchers also pointed out accessibility features as important examples.

Google isn’t alone in using machine learning to upscale images. In June last year, Twitter bought UK AI startup Magic Pony, which uses similar techniques to improve the resolution of low-quality ...

The example Giannandrea cites to demonstrate machine learning power is Google Photos, a product whose definitive feature is an uncanny — maybe even disturbing — ability to locate an image of ...

Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples ...