AI, and “Computer learning” simplifiedHere is a quick break down.
This might be a helpful time to clarify that AI is often a catch-all term for an assortment of different technologies. There's artificial intelligence in our digital assistants like Siri, Alexa, Cortana and the Google Assistant. You'll find artificial intelligence in software like Facebook's Messenger chatbotsand Gmail's auto-replies. It's defined as "intelligence displayed by machines" but also refers to situations when computers do things without human instructions. Then there's machine-learning, which is when computers teach themselves how to perform tasks that humans do. For example, recently, an MIT face-recognition system learned how to identify people the same way humans do without any help from its creators.
It's important not to confuse these ideas -- machine-learning is a subset of artificial intelligence. Let's use the term machine learning when we're talking specifically about concepts like neural networks and models like Google's TensorFlow library, and AI to refer to the bots, devices and software that perform tasks they've learned.