#001: Planet Formation, Dark Matter, And The Sounds Of Astronomy Ask An Astronomer! @ Cornell University podcast

#Higher Education #Natural Sciences #School Education #Science #Tech #Government #Non-Profit #Ask An Astronomer Cornell University #Podcasting Education

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 math that powers 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…

Ask an Astronomer! @ Cornell University «
#001: Planet Formation, Dark Matter, and the Sounds of Astronomy

14 років тому

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M4A•Головна епізоду

Today on the Ask An Astronomer Podcast... 1) We answer a question from a reader about the gas giant planets, and why they're so much bigger than the inner rocky planets. 2) Dave K and Dave B discuss the unknown dark matter that fills one quarter of the entire universe, but what it is astronomers still don't know. 3) And we listen to what lightning storms on Saturn sound like.... ...today on the Ask An Astronomer Podcast. Today's podcast is written and produced by David Bernat, Carl Ferkinhoff, Ann Martin, Betsy Adams, Manoilis Papastergis, Laura Spitler, Dan Tamayo, and David Kornriech. You can ask us your own questions by emailing us at 'curious@astro.cornell.edu' (please put 'AAA Podcast' in the title) or leave us a message at our new telephone number: 1-ITHACA-0-SKY (1-484-222-0759).

18 епізодів

#001: Planet Formation, Dark Matter, and the Sounds of Astronomy

Ask an Astronomer! @ Cornell University

published 14 років тому

Поширити

M4A•Головна епізоду

18 епізодів

#Higher Education #Natural Sciences #School Education #Science #Tech #Government #Non-Profit #Ask An Astronomer Cornell University #Podcasting Education

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