Books Why Machines Learn: The Elegant Math Behind Modern AI Book by Anil Ananthaswamy

Anil Ananthaswamy is an award-winning Indian-American science writer and former deputy news editor for the London-based magazine New Scientist. He has a background in electronics and computer engineering from IIT-Madras and the University of Washington, Seattle, and prior experience as a software engineer before transitioning to science journalism. He is known for his deep exploration of cutting-edge scientific topics across cosmology, physics, and mathematics. He is also a 2019-20 MIT Knight Science Journalism Fellow and regularly contributes to prestigious publications like New Scientist, Scientific American, PNAS Front Matter, Nature, and others.

His book Why Machines Learn: The Elegant Math Behind Modern AI (published July 2024) explains the mathematical foundations behind modern artificial intelligence. It explores how the principles of machine learning reveal elegant mathematical structures that underpin AI's capabilities and potentially mirror natural intelligence. The book has been praised by experts like Geoffrey Hinton as a masterpiece for illuminating the math that drives the AI revolution.

Ananthaswamy's writing is well-regarded for making complex scientific ideas accessible without losing rigor. His background in engineering and journalism allows him to communicate the sophisticated math behind machine learning in a clear and insightful way, making this book valuable for readers interested in understanding the science behind AI.