You’re going to be hearing a lot about artificial intelligence (AI), machine learning and deep learning in the near future, judging by this year’s Consumer Electronics Show. Major manufacturers such as Samsung and LG showcased AI-powered smart refrigerator screens that can be controlled by voice-activated digital assistants such as Bixby and Alexa. These tech giants also highlighted other smart home appliances, such as washing machines, that use machine learning to study user laundry habits and optimize settings to factor in variables such as air quality and weather. Meanwhile, Nvidia rolled out a self-driving car that uses deep learning facial recognition to determine whether a driver might be looking in the wrong direction to see oncoming vehicles or whether they look too drowsy to drive.
All these technologies share a generic relationship to AI, but there are also important distinctions between artificial intelligence, machine learning, and deep learning. Here’s a deeper look at how these technologies are related to each other, as well as what makes them different.