010. A Cukrász Élet Sem Habostorta - Interjú Baracskay Angélával És Raj Ráchellel Street Kitchen podcast

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

منذ 7 أيام1:14:43

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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…

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010. A cukrász élet sem habostorta - interjú Baracskay Angélával és Raj Ráchellel

منذ 5 أعوام 41:18

MP3•منزل الحلقة

Mi a különbség a cukrász és a cukrász séf között? Itthon, vagy külföldön lehet könnyebben érvényesülni? Hogy lehet összeegyeztetni az anyaságot egy folyamatosan pörgő szakmában? A legfrissebb adásunkból minden kiderül!

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#Társadalom #Street Kitchen

Street Kitchen Podcast

010. A cukrász élet sem habostorta - interjú Baracskay Angélával és Raj Ráchellel

Street Kitchen Podcast

22 subscribers

published منذ 5 أعوام

MP3•منزل الحلقة

11 حلقات

#Társadalom #Street Kitchen

Tutti gli episodi

1
010. A cukrász élet sem habostorta - interjú Baracskay Angélával és Raj Ráchellel 41:18

منذ 5 years41:18

41:18

1
009. "A halnak sokkal kisebb az ökológiai lábnyoma, mint bármelyik másik húsnak" 57:26

منذ 5 years57:26

57:26

Miért eszünk mi, magyarok kevés halat? Miért drágább a hal a többi húsnál? Tényleg iszapízű a ponty? És mit csinál egy haltenyésztő?

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008. "Sokan megélhetési vegánnak tartanak” - interjú Steiner Kristóffal 37:34

منذ 5 years37:34

37:34

Steiner Kristófot valószínűleg senkinek nem kell bemutatni, hiszen lassan 15 éve láthatjuk folyamatosan a képernyőn és olvashatjuk cikkeit a legváltozatosabb témákban. Az utóbbi időben egyfajta vegán nagykövetté nőtte ki magát, folyamatosan süt-főz és a tudatos táplálkozás hatalmas szószólója. A street kitchen podcastjében többek között a veganizmusról, a húsevő-vegán konfliktusokról és még sok minden másról.…

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Street Kitchen Podcast » 010. A cukrász élet sem habostorta - interjú Baracskay Angélával és Raj Ráchellel

010. A cukrász élet sem habostorta - interjú Baracskay Angélával és Raj Ráchellel

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010. A cukrász élet sem habostorta - interjú Baracskay Angélával és Raj Ráchellel