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

منذ 7 أيام1:14:43

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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 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…

Noiseweek

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Le magazine des sorties discographiques et de l'actualité énervée sur @Heavy1 présenté chaque semaine par Christophe Droit Hébergé par Ausha. Visitez ausha.co/fr/politique-de-confidentialite pour plus d'informations.

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#Musique #Heavy1 (en collaboration avec Live Nation France

Noiseweek

updated منذ 6 أيام

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#Musique #Heavy1 (en collaboration avec Live Nation France

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Noiseweek #26 Saison 8 1:00:52

منذ 6 أيام1:00:52

1:00:52

Dans Noiseweek sur Heavy1, Avantasia est à l’honneur avec « Here Be Dragons » : c’est notre album de la semaine. Egalement au programme préparé et animé par Christophe Droit, sa sélection des nouveautés discographiques albums et singles de Architects • The Dead Daisies • Robin McAuley • Fanalo • Enemy Inside • Dirkschneider • Dark Chapel • Brainstorm et Perfect Plan. Une émission réalisée par Jean-Baptiste Lamet - En partenariat avec RIFFX.fr Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.…

مرحبًا بك في مشغل أف ام!

يقوم برنامج مشغل أف أم بمسح الويب للحصول على بودكاست عالية الجودة لتستمتع بها الآن. إنه أفضل تطبيق بودكاست ويعمل على أجهزة اندرويد والأيفون والويب. قم بالتسجيل لمزامنة الاشتراكات عبر الأجهزة.