My name is Alessia Nigretti and I am a Technical Evangelist for Unity. My job is to introduce Unity's new features to developers. My fellow evangelist Ciro Continisio and I developed the first demo game that uses the new Unity Machine Learning Agents system and showed it at DevGamm Minsk 2017. This post is based on our talk and explains what we learned making the demo. At the same time, we invite you to join the ML-Agents Challenge and show off your creative use-cases of the toolkit.

As we have seen previously with the likes of SethBling's Mar I/O videos and other examples, video games seem to be a great source for training AI neural networks. Augmented reality and machine learning are part of a collection of technologies that seem to be growing toward a point of maturity, and that will likely cause them to be intertwined for the foreseeable future. As developers, machine learning will definitely change the way we create software in the coming future. Instead of going line-by-line through code to create our next killer app, we will instead likely set the parameters and determine the training regimen for basic AI. And really, that future is likely not as far away as it may seem. In a blog post this week, Unity announced the release of the what they are calling Machine Learning Agents, or ML-agents for short.