Ethan Kane is an artificial intelligence (AI) researcher focused on the application of neural networks to physical control systems. He has published academic conference and journal papers on the use of artificial neural networks in robotics and aerial drones, and is a contributor to cutting-edge research.

He hopes to improve the accessibility of non-traditional AI tools and neural network training methods to highlight the unique advantages of evolutionary intelligence algorithms.