11/28: Bulls Biggest Questions

ESPN Chicago GameNight

#ESPN Radio #ESPN Chicago #Jonathan Hood #Daily News #Showbiz #News #Sports News #Sports

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…

2 года назад 24:05

MP3•Главная эпизода

Jonathan Hood talks about the 5 questionable games for the Bulls so far through 20 games this season. Should the Bulls tank this season? Plus 4 storylines in the NBA. Presented by: www.draftkings.com and www.manscaped.com - use promo code HOOD and save 20%

306 эпизодов

ESPN Chicago GameNight

11/28: Bulls Biggest Questions

ESPN Chicago GameNight

48 subscribers

published 2 года назад

MP3•Главная эпизода

306 эпизодов

#ESPN Radio #ESPN Chicago #Jonathan Hood #Daily News #Showbiz #News #Sports News #Sports

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ESPN Chicago GameNight

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3/14 Under The Hood with J. Hood 33:19

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2/22 Bulls: Tanking or Playoff Push? 47:27

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Today on the Kap & J. Hood Morning show they talked Bulls, should they tank or make a playoff push? Why did Patrick Beverly say "he gonna get in Zach Lavine's ass? All that and more!

ESPN Chicago GameNight

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2/21 Bobby Marks with Kap & J. Hood 12:21

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2/17 Kendall Gill joined the Kap & J. Hood Morning Show 11:52

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ESPN Chicago GameNight

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