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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 mathematical concepts that power 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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Somewhere in the Middle welcomes Leadership Coach and Author William Schirmer

William Schirmer is the author of both The Leadership Core and Fulfilled: Finding Joy and Prosperity in Life. He is a senior management professional in Human Resources, having been involved with HR, Talent Management, and Learning & Development functions for domestic and international firms for more than twenty years. His expertise includes the creation and deployment of leadership development programs for several organizations. William holds USA, UK, and Global Human Resource certifications. His undergraduate study in Political & Behavioral Sciences was completed via Minnesota State University-Mankato in the USA. William completed his Graduate Degrees in Human Resource Management at Fort Hays State University in the USA and Social Sciences at the University of Leicester in the United Kingdom. William grew up in Minnesota and is a lover of the outdoors, travel, motorcycling, and exercise. He’s a proud father of three grown children: Daniel, Richard, and Alyssa.

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Somewhere in the Middle with Michele Barard