Here at AI Trends we are working on publishing a glossary of terms. Over the past few months, we’ve seen many recent articles trying to cut through the buzzwords and confusion. I’ve had several recent discussions with industry analysts who say machine learning is not AI and vice a versa. In the meantime, here’s a good intro piece from InfoWorld on AI lexicon.
There’s never any shortage of buzzwords in the IT world, but when it comes to AI, they can be hard to tell apart. There’s artificial intelligence, but then there’s also machine intelligence. There’s machine learning, but there’s also deep learning. What’s the difference? Here are five things you need to understand.
1. AI is basically an umbrella term for it all
Artificial intelligence refers to “a broad set of methods, algorithms and technologies that make software ‘smart’ in a way that may seem human-like to an outside observer,” said Lynne Parker, director of the division of Information and Intelligent Systems for the National Science Foundation.
Machine learning, computer vision, natural language processing, robotics and related topics are all part of AI, in other words.