Need a primer? Here’s what you need to know about AI’s most buzzed-about fields
The term “artificial intelligence” has been around since the 1950s, but it’s taken more than half a century for it to finally have a transformative impact on everyday life.
But why? And why now? The short answer is that we finally have computers that are strong enough, data that is extensive enough, and learning models that are advanced enough to power the rapid growth of intelligent machines.
Andrew Ng, chief scientist at China’s search giant Baidu and one of the heads of the Google Brain project, put the recent AI explosion in easy-to-understand terms: “I think AI is akin to building a rocket ship. You need a huge engine and a lot of fuel,” he told Wired Magazine. “If you have a large engine and a tiny amount of fuel, you won’t make it to orbit. If you have a tiny engine and a ton of fuel, you can’t even lift off. To build a rocket you need a huge engine and a lot of fuel.”
But before we rocket off to space, let’s look at two of the most talked-about areas of AI back here on earth: machine learning and its subset, deep learning.