#12 We Will Revolutionize Learning with Eric Jones of Oiada International

Why Distance Learning?

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추가했습니다 two 년 전

Seth Fleischauer, Allyson Mitchell, and Tami Moehring, Seth Fleischauer, Allyson Mitchell, and Tami Moehring에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Seth Fleischauer, Allyson Mitchell, and Tami Moehring, Seth Fleischauer, Allyson Mitchell, and Tami Moehring 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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

7일 전1:14:43

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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 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…

2년 전 37:51

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In this episode, Seth, Allyson, and Tami sit down with Eric Jones, a driving force behind Oiada International. With a dynamic career in distance learning that spans decades, Eric’s unwavering commitment to cultivating 21st century global citizens and leaders using distance will leave you awestruck! The group delves into the rich history of Oiada to unpack best practices for using distance learning to create a successful cultural exchange program that shares perspectives, boosts participants' self-esteem, and instills a sense of unity among global peers. Eric also takes time to talk about his time in a leadership role in the United States Distance Learning Association, discussing the challenges USDLA is determined to overcome, and the different ways the Association revolutionizes the way students learn!
Get to know more about Oiada International here: https://www.oiadaintl.org/

Keep up with the United States Distance Learning Association (USDLA) here: https://usdla.org/
Browse amazing virtual learning opportunities at CILC.org
Seth's Banyan Global Learning provides live virtual learning series in Character Education.

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#Distance Learning #Interactive Video Conferencing #Educational Technology #Teaching #Teachers #Online Teaching #Podcasting Education #Tami Moehring, Allyson Mitchell, and Seth Fleischauer #Allyson Mitchell #Seth Fleischauer #Tami Moehring