To many a casual listener, the term “Artificial Intelligence” invokes science fiction and the future we were promised by visionaries writing decades ago. It may also bring to mind the technology that we call upon to assist us in our daily lives. It may even raise more questions than answers.
The term “artificial intelligence”, or AI, may sometimes be used synonymous with the term “machine learning” – another field of research that has gained much attention in recent years. What do most people know about AI and machine learning? Unfortunately, the answer may be, “regrettably little”. As education struggles to keep pace with the ignition of technological advancement, many seek a new source for insight and illumination as to how their lives will be shaped by AI.
On this episode of the Perpetual Notion Machine, Kelly Schwartz talks with Sean Gerrish, author of “How Smart Machines Think“. “How Smart Machines Think” is a book that explores AI and machine learning aimed at a lay audience.
Artificial intelligence is a field of study dedicated to coming up with computer programs that act smart in some way. Of course, there’s no guarantee that machines will actually be intelligent; just that they’ll appear intelligent. They might simply be doing many dumb things, just really fast.
After Sean earned his doctorate in machine learning, he found his way to Google after working with several other tech companies. He spent countless commutes and weekends crafting this wonderful primer on the digital masterpieces our collective humanity has been crafting since the dawn of automation.
“How Smart Machines Think” was officially released on Oct 30th, 2018 through MIT Press and represents Sean’s personal work and research.
Thanks to our engineers Dave Harker & Kevin Lauterjung, and our executive producer, Dennis Shaffer.
Additional music: [Mr.Roboto//STYX]