Open source, bio-inspired machine learning for everyone

Since our bio-inspired machine learning technology "Dynamic Boltzmann Machine (DyBM)" debuted in the fall of 2015, we received many comments on the music demo and human evolution image that we used to show how an artificial neural network learns about different topics in different formats. Many developers expressed interest in using the code to let DyBM learn other music or animation. This request for more "openness" made us wonder if we should dramatically change DyBM's bio-oriented design. It learns patterns like neurons: at each moment of a song or an image, DyBM adjusts its internal parameters. The more data fed into DyBM, the better it will master what it's trying to understand.