15 - Pe teren antropologic: între comunitate și stat

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

منذ 3 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…

منذ 6 أعوام 53:39

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Lumea este construită pe relații. Relația individului cu comunitatea, a comunităților cu statul, relația cercetătorului cu subiectul cercetării, relațiile cu familia - cum funcționează acestea, care pe care se bazează? În episodul acesta ne uităm la cum, analizând relațiile familiale dintr-o comunitate minoritară, putem spune mai multe despre societatea în care trăim. Ana Chirițoiu, doctorandă în antropologie, ne povestește despre cercetarea ei, centrată pe politicile de rudenie dintr-o comunitate de romi din sudul României. Minutele 1 - 10: Despre munca etnografică și antropologie Minutele 10 - 21: Despre cercetare într-o comunitate de romi și relația acestora cu statul Minutele 21 - 35: A acționa contextual, moralitate și comunitate Minutele 35 - 40: Solidaritate, etnie și migrație Minutele 40 - 53: Cum decurge și se schimbă munca etnografică - o poveste de pe teren Ana Chirițoiu’s page: https://sociology.ceu.edu/people/ana-chiritoiu Producători: Maria Martelli și Karol Pataki Studio: Radio EBS (cu mulțumiri lui Flaviu Petean) Soundtrack: KindStudios Imagine: Maria Martelli

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