StopGOstop: Field Recordings, Sound Collage, And Sound Art podcast

stopGOstop: field recordings, sound collage, and sound art

תוכן מסופק על ידי john wanzel and John wanzel. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי john wanzel and John wanzel או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

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

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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…

stopGOstop: field recordings, sound collage, and sound art

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stopGOstop is a podcast that explores the idea that sound recordings can act as sediment — an accumulation of recorded cultural material — distributed via rss feed, and listened to on headphones. Each episode is a new sonic layer, incorporating field recordings, plunderphonics, and electroacoustic sound, all composed together in one episode or, alternately, presented individually as striations. The podcast has evolved over its existence, started as a field recording podcast in 2012 the first 19 episodes feature binaural and stereo recordings from everyday life. After a brief hiatus, it shifted between field recordings and ‘rebroadcasts’ of past work for radio. Since episode 30 the podcast has shifted between field recordings, new compositions and sound collages (with an occasional rebroadcast). stopGOstop continually juxtaposes two or three ideas — tending to move away from a focused theme, from new-worthy topics, or dependent on interviews of creative types — it is a podcast that is

196 פרקים

#Field #Wanzel #Walking #Anthropocene #Plunderphonics #Recording #Music #Theater #Arts #Audio Drama #John Wanzel #Sit

stopGOstop: field recordings, sound collage, and sound art

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updated לפני 7 ימים

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בית הסדרות•Feed

196 פרקים

#Field #Wanzel #Walking #Anthropocene #Plunderphonics #Recording #Music #Theater #Arts #Audio Drama #John Wanzel #Sit

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