Hackster.io has a useful how to guide by Jen Looper describing the steps involved in building a bird identifier using a custom machine learning model running on a Google Coral Dev board with a Raspberry Pi Camera module.
Google have released the Tensorflow Quantum API, allowing hybrid quantum-classical machine learning calculations to be performed on simulated quantum computers and actual Google quantum computers.
AI Summer published a handy overview guide to all the different types of deep learning algorithms, describing each and showing when you should use them.
Designs.ai provide a set of AI powered design tools that help the user get graphic design work done without the need to have too much graphic design experience. The company have two paid AI products on offer, logomaker and videomaker. They also offer a set of free assistive tools, including a colormatcher, a palette selection tool using AI generated colours.
Researchers and MIT and IBM have created a new image dataset to use in the training of computer vision models. The new dataset, called ObjectNet, includes images of obscure objects at obscure angles among cluttered environments. The purpose of the new dataset is to help train algorithms on more real-world style scenarios.
Amazon have announced AWS DeepComposer, a keyboard which connects to the AWS DeepComposer service and allows the user to generate an original musical composition using trained generative adversarial networks (GANs).
Python Speed published an interesting and useful blog post about the techniques available for processing large amounts of data, the easiest solution being throw money at the problem by buying more RAM.
Google's Coral embedded AI devices are out of beta and are released to the public. The devices run tensorflow AI onboard, allowing AI solutions to be deployed in the field, such as in hospitals and water treatment plants.
