Here is a curated list of books on Artificial Intelligence (AI) that you might find interesting:
"Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig This is a comprehensive book covering the fundamentals of AI. It's widely regarded as the standard textbook in the field.
"Life 3.0: Being Human in the Age of Artificial Intelligence" by Max Tegmark In this book, Tegmark explores the future of AI and its implications for humanity.
"Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville A must-read for anyone interested in the mathematics and algorithms behind deep learning.
"The Hundred-Page Machine Learning Book" by Andriy Burkov As the title suggests, this book is concise yet informative, covering key concepts in machine learning.
"The Signal and the Noise: Why So Many Predictions Fail — but Some Don't" by Nate Silver While not exclusively about AI, this book provides insights into prediction and data analysis that are highly relevant to AI research.
"AI Superpowers: China, Silicon Valley, and the New World Order" by Kai-Fu Lee Lee, a prominent AI researcher and entrepreneur, discusses the rise of AI in China and its implications for the global landscape.
For more resources on AI and related technologies, check out our AI Resources.