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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 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…
Dear Grad Student
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Manage series 2932895
Content provided by Elana M. Gloger, M.S., Elana M. Gloger, and M.S.. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Elana M. Gloger, M.S., Elana M. Gloger, and M.S. or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
A podcast for celebration, commiseration, and support through grad school for the students who are living it (or want to). Join Elana Gloger, a full-time 4th year doctoral student and part-time human, as she chats with fellow grad students about their professional and personal experiences, without taking either too seriously. Episodes include conversations about students' Day in the Life, conversations about Diverse Identities and Racism in Academia, and themed episodes (like, Mental Health in Grad School or Resources for Efficiency). As grad students, we all love what we do, struggle with what we do, need support through what we do, and should be celebrated for what we do and 'Dear Grad Student' is the place for it all.
…
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86 episoade
Marcați toate (ne)redate ...
Manage series 2932895
Content provided by Elana M. Gloger, M.S., Elana M. Gloger, and M.S.. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Elana M. Gloger, M.S., Elana M. Gloger, and M.S. or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
A podcast for celebration, commiseration, and support through grad school for the students who are living it (or want to). Join Elana Gloger, a full-time 4th year doctoral student and part-time human, as she chats with fellow grad students about their professional and personal experiences, without taking either too seriously. Episodes include conversations about students' Day in the Life, conversations about Diverse Identities and Racism in Academia, and themed episodes (like, Mental Health in Grad School or Resources for Efficiency). As grad students, we all love what we do, struggle with what we do, need support through what we do, and should be celebrated for what we do and 'Dear Grad Student' is the place for it all.
…
continue reading
86 episoade
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