# Anil Ananthaswamy, "Why Machines Learn: The Elegant Maths Behind Modern AI" (Dutton, 2024) Page: https://stenobird.com/podcast/new-books-in-mathematics-736372/anil-ananthaswamy-why-machines-learn-the-elegant-maths-behind-modern-ai-dutton-2024 Text version: https://stenobird.com/podcast/new-books-in-mathematics-736372/anil-ananthaswamy-why-machines-learn-the-elegant-maths-behind-modern-ai-dutton-2024.md Podcast: [New Books in Mathematics](https://stenobird.com/podcast/new-books-in-mathematics-736372) Published: 2025-07-30T08:00:00+00:00 Episode link: https://traffic.megaphone.fm/NBNK7751378863.mp3?updated=1753925848 Audio file: https://traffic.megaphone.fm/NBNK7751378863.mp3?updated=1753925848 Processing state: not_requested JSON: https://stenobird.com/v1/public/podcasts/new-books-in-mathematics-736372/episodes/anil-ananthaswamy-why-machines-learn-the-elegant-maths-behind-modern-ai-dutton-2024 Duration seconds: 4041 ## Resource Machine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumor is cancerous, or deciding if someone gets bail. They now influence developments and discoveries in chemistry, biology, and physics—the study of genomes, extrasolar planets, even the intricacies of quantum systems. And all this before large language models such as ChatGPT came on the scene.We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning, while suggesting intriguing links between artificial and natural intelligence. Might the same math underpin them both?As Ananthaswamy resonantly concludes, to make safe and effective use of artificial intelligence, we need to understand its profound capabilities and limitations, the clues to which lie in the math that makes machine learning possible. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/mathematics ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/new-books-in-mathematics-736372/episodes/anil-ananthaswamy-why-machines-learn-the-elegant-maths-behind-modern-ai-dutton-2024/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/new-books-in-mathematics-736372/anil-ananthaswamy-why-machines-learn-the-elegant-maths-behind-modern-ai-dutton-2024.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.