How Can Ancient Medicines Work With The Future Of Medicine? Mindshifting Moments By Nucleus podcast

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…

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How Can Ancient Medicines Work With the Future of Medicine?

3년 전 36:16

Nucleus에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Nucleus 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.

We are all aware that psychedelic-assisted therapy might be able to help us, but we also must recognize that wellness is holistic and must be managed across the entire spectrum of well-being. One often overlooked intersection is the use of stem cells.

For this Mindshifting Moment, Host Margaret Williamson will speak to the CEO of Emuna Wellness, Isaiah Orlen about stem cell rejuvenation.

You’ll likely walk away from the conversation with an answer to the question… “How would I use stem cell rejuvenation?”

3 에피소드

Blink Video Doorbell (newest model), Two-way audio, HD video, motion and chime app alerts and Alexa enabled — wired or wire-free (Black)

Amazon Basics Micro SDXC Memory Card with Full Size Adapter, A2, U3, Read Speed up to 100 MB/s, 128 GB, Black

Ring Indoor Cam (2nd Gen) | latest generation, 2023 release | 1080p HD Video & Color Night Vision, Two-Way Talk, and Manual Audio & Video Privacy Cover | White

Ring Outdoor Cam (Stick Up Cam) | Weather-Resistant Outdoor Camera, Live View, Color Night Vision, Two-Way Talk, Motion alerts, Works with Alexa | White

들어볼 가치가 있는 팟캐스트

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

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How Can Ancient Medicines Work With the Future of Medicine?