Science Shots podcast

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

för 5 dagar sedan1:14:43

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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…

Science Shots explicit

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8 episoder

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Science Shots explicit

updated för 6 år sedan

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8 episoder

#Comedy #Science Shots

Semua episode

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Birthday Balloons 14:06

för 6 years sedan14:06

14:06

Our birthday episode for Libbie where we discuss why and how Helium makes your voice higher!

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Swole Strawberries 25:33

för 7 years sedan25:33

25:33

This week we learn all about birthmarks, so take a listen and see if Libbie can even follow along!

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No Nips Bro 26:26

för 7 years sedan26:26

26:26

Sorry for the short break but we are back with a vengeance! This week on Science Shots we talk about people born without nips....buckle up for a bumpy ride!

1
Goldilocks....and the 3 Bears 18:32

för 7 years sedan18:32

18:32

Tune in this week as Sara teaches me about Goldilocks planets!

1
Sound It Out 18:28

för 7 years sedan18:28

18:28

This week HEAR Sara explain why you sound different inside your head!

1
Decaying Dino DNA 36:34

för 7 years sedan36:34

36:34

Sorry we took a week off we had some family things going on but we are back with a special episode and a SPECIAL GUEST! Join us this week as we talk about the possibility of Jurassic Park!

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Split Up Your Naners 16:29

för 7 years sedan16:29

16:29

This week we learn all about splitting up your naners and what a llama naner is! Join us for the drunken antics on this week's Science Shots!

1
Dizzzaster aka Black Holes 23:54

för 7 years sedan23:54

23:54

Listen to Sara teach me about the research by Hawking into Black Holes and see how it quickly becomes a "dizzaster"

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