Chris Wellons on null program describes how he built a race car simulator using polynomial calculations instead of using a more complicated, and this case less efficient machine learning solution, in order to demonstrate that not every problem needs to be solved with machine learning.
Neural Radiance Fields For Unconstrained Photo Collections (NeRF) is a neural network project from researchers at Google that can take in a set of pictures of a place from the internet and automatically generate a representation of the scene that can be explored in 3D. The lighting and environmental effects of the scene can also be manipulated at a realistic level.
1secondpainting.com demonstrates how a neural network trained on thousands of abstract paintings can generate new abstract paintings in under one second.
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.
