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TechSurge: Deep Tech VC Podcast


1 Understanding the Elegant Math Behind Modern Machine Learning 1:14:43
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 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…
Chat w/ John Hann (johnhann)
Manage episode 191455078 series 1749558
المحتوى المقدم من Marty Matheny. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Marty Matheny أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
Chat w/ John Hann, engineer of big datas at New Relic. Still working out some kinks with the audio, so it’s a bit hard to hear me. John sounds great, though! ?
…
continue reading
6 حلقات
Manage episode 191455078 series 1749558
المحتوى المقدم من Marty Matheny. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Marty Matheny أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
Chat w/ John Hann, engineer of big datas at New Relic. Still working out some kinks with the audio, so it’s a bit hard to hear me. John sounds great, though! ?
…
continue reading
6 حلقات
كل الحلقات
×Honey and I discuss our advice to new managers, our personal journeys when we started in management roles, and some book recommendations. Sadly, I only recorded 30 minutes of our 45-minute chat, as I didn't realize Anchor's new limit there. We'll need to record a sequel soon!
Mark and I discuss how he got started in tech, and moving from Engineering Manager to Product Manager roles.

1 Russ Rants! Discussing databases with Russ Smith and Joshua Galbraith 35:44
35:44
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Database experts Russ Smith and Joshua Galbraith discuss running databases at scale how someone makes the fateful decision to become a DBA.
Chat w/ John Hann, engineer of big datas at New Relic. Still working out some kinks with the audio, so it’s a bit hard to hear me. John sounds great, though! ?
Chat with Roy Martin, CTO of ModOp. Topics covered: the PDX Tech Leadership meet-up Roy co-organized, and his work at ModOp
Interview with Joshua Galbraith at New Relic
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