Machine learning (ML) is a discipline of AI that includes basic pattern recognition and deep learning and other techniques to train machines to identify and categorize large numbers of entities and data points. Basic machine learning has been used since the 80s and is responsible for many capabilities such as recommendation engines, spam detection, image recognition, and natural language processing applications such as language translation (machine translation). Advances in neural networks, and computing performance and storage, combined with vast data sets in the 2000s created a whole new level of sophisticated machine learning applications. This type of “AI” is ready for prime time. Yet, as powerful as these new techniques are, they are not AGI. i.e, “human level”.