Likely Stanford University’s John McCarthy summed up artificial intelligence best in his 2004 academic paper when he wrote, “It is the science and engineering of making intelligent machines, especially intelligent computer programs.” In essence, artificial intelligence designs computers to impersonate human intelligence. To achieve impersonating human intelligence, artificial intelligence uses both machine learning and deep learning technology.
What is Machine Learning?
Machine learning is a subset of artificial intelligence that uses processes including deep learning to enable machines to improve their functionality vis-a-vie experience. The learning process requires the feeding of data into an algorithm. Once this is done the data is used to train, test, and deploy a model that can perform automated predictive tasks.
What is Deep Learning?
Deep learning is a subset of machine learning. In deep learning, the learning processing is “deep” because the structure of the artificial neural (nervous system) networks encompass multiple inputs, outputs, as well as hidden levels. Each level has units that can transform the input data into information that the next level can use to perform predictive tasks. Essentially, these functions give machines the ability to learn through their own data processing.
What is Artificial Intelligence Used For?
Artificial intelligence allows us to build computer systems and software applications that can perform tasks commonly associated with human intelligence. Today, artificial intelligence plays a big role in healthcare technology to diagnose and monitor patients. For online shoppers, artificial intelligence provides customized recommendations based on examples of previous searches or online activity.
Elaine Allan, BA, MBA
Technology & Business Blogger
Vancouver, BC, Canada