AMP uses deep learning to continuously train itself by processing millions of material images into data. The software uses pattern recognition of colors, textures, shapes, sizes, and logos to identify recyclables and contaminants in real time.This presentation will describe AMP's history and vision, its technology and results. With near-zero manual sorting, reliablity, and pervasive data collection and analysis, the company's automated process makes the the recovery of commodities safer and more cost effective and increases recycling rates.