Why Are Computers podcast

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A tartalmat a Tom Stuart biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Tom Stuart vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

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Understanding the Elegant Math Behind Modern Machine Learning 1:14:43

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1:14:43

Artificial intelligence is evolving at an unprecedented pace—what does that mean for the future of technology, venture capital, business, and even our understanding of ourselves? Award-winning journalist and writer Anil Ananthaswamy joins us for our latest episode to discuss his latest book Why Machines Learn: The Elegant Math Behind Modern AI . Anil helps us explore the journey and many breakthroughs that have propelled machine learning from simple perceptrons to the sophisticated algorithms shaping today’s AI revolution, powering GPT and other models. The discussion aims to demystify some of the underlying mathematical concepts that power modern machine learning, to help everyone grasp this technology impacting our lives–even if your last math class was in high school. Anil walks us through the power of scaling laws, the shift from training to inference optimization, and the debate among AI’s pioneers about the road to AGI—should we be concerned, or are we still missing key pieces of the puzzle? The conversation also delves into AI’s philosophical implications—could understanding how machines learn help us better understand ourselves? And what challenges remain before AI systems can truly operate with agency? If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits. Links: Read Why Machines Learn, Anil’s latest book on the math behind AI https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749 Learn more about Anil Ananthaswamy’s work and writing https://anilananthaswamy.com/ Watch Anil Ananthaswamy’s TED Talk on AI and intelligence https://www.ted.com/speakers/anil_ananthaswamy Discover the MIT Knight Science Journalism Fellowship that shaped Anil’s AI research https://ksj.mit.edu/ Understand the Perceptron, the foundation of neural networks https://en.wikipedia.org/wiki/Perceptron Read about the Perceptron Convergence Theorem and its significance https://www.nature.com/articles/323533a0…

Why Are Computers

Megosztás

Sorozat kép•Feed

A podcast about computers and computer programs and why.

4 epizódok

#Tech #Ruby #Programming #Web #Tom Stuart #Computer #JavaScript

Why Are Computers

72 subscribers

updated 9 éve

Megosztás

Sorozat kép•Feed

A podcast about computers and computer programs and why.

4 epizódok

#Tech #Ruby #Programming #Web #Tom Stuart #Computer #JavaScript

Todos los episodios

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Why Are Computers 4: Seemingly Disconnected Things

9 years

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Chris Patuzzo tells the story of creating the Sentient programming language, with diversions into NAND to Tetris, self-enumerating pangrams, the boolean satisfiability problem, and The Witness.

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Why Are Computers 3: Ways to Be Less Clever

9 years

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Sandi Metz and Katrina Owen reflect upon the process of writing a book together, the secrets of building good software, and the logistics of the self-publishing business.

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Why Are Computers 2: This Increasingly Complicated World

9 years

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James Edward Gray II doubles down on Twitter arguments about static type systems, modern software tooling, the mind-expanding effects of being a polyglot programmer, and the design possibilities of massively concurrent systems.

1
Why Are Computers 1: A Fairly Deep Yak Shave

11 years

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James Coglan talks about the lengthy process of creating Terminus and Faye, thinking through coding, software as argument, maintaining open source projects, JavaScript in web apps, and his upcoming JavaScript testing book.

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