“Can machines think?” Ever since Alan Turing posed this question in an influential 1950 paper, it has been central to research in artificial intelligence. More than seventy-five years after Turing’s paper, we grapple with it every time we wonder if Watson was actually smarter than Jeopardy! champions, or if ChatGPT really knows what it’s talking about. In Thinking AI, computer scientist John MacCormick explores Turing’s question from a perspective informed by a detailed understanding of the way modern AI systems work. MacCormick explains, in accessible fashion, the ideas behind the two main pillars of the twenty-first century AI revolution: deep neural networks and reinforcement learning.
| Publisher | Princeton University Press |
| Author | John MacCormick |
| Country | USA |
| Publication Date | 21/04/2026 |
| Pages | 296 |
| Edition | first |
| Size | 16×23 |
| About the Author | John MacCormick is professor of computer science at Dickinson College. He is the author of Nine Algorithms That Changed the Future: The Ingenious Ideas That Drive Today's Computers and What Can Be Computed? A Practical Guide to the Theory of Computation (both Princeton). |
| Publisher Address | info@press.princeton.edu |
| ISBN | 9780691191737 |
