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1 Understanding the Elegant Math Behind Modern Machine Learning 1:14:43
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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 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…
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Inhoud geleverd door Dyemy Dumerjuste. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Dyemy Dumerjuste of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
A weekly Podcast on health problem in Haiti
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7 afleveringen
Markeer allemaal (on)gespeeld ...
Manage series 2310495
Inhoud geleverd door Dyemy Dumerjuste. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Dyemy Dumerjuste of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
A weekly Podcast on health problem in Haiti
…
continue reading
7 afleveringen
Semua episode
×Yon pòdkas ekip ta100t an pote nou nou
Se yonn Nan kansè ki pi frekan kay medam yo an #Haiti. Peyi nou rete yonn nan peyi kote maladi sa fè gwo ravaj. Men gen zouti Pou anpeche sa. Pran sa bonè, a pati 21 lane, panse Al fè paptest ou. http://www.ta100t.com/santefanm/kanse-kol-matris/
Nou pale plis sou kansè Nan Tete Nan epizòd sa. Kansè Nan Tete ak kansè kòl matris se 2 kansè ki kouran medam yo an Haiti. Nou pote zouti Pou ede medam yo kouri ale wè doktè pi bonè.
Maladi tansyon Wo kouran an Ayiti. Li kòz gro konplikasyon ki ka menm touye moun. Konnen chif ou yo. Siw malad, pran medikaman w kòmsadwa
Zafè sante se yon pòdkas ekip ta100t pou ou
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