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

8天之前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…

大约1年之前 1:58:16

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laike9m 来到了新加坡！我们和二分电台的 2BAB 和代码之外的勾股在现场录制了一起节目，和 laike9m 畅聊了有关新加坡和加州的方方面面。

音频处理：西市独柳工作室 https://xishiduliu.com/

如果喜欢我们的节目，欢迎通过爱发电打赏支持：https://afdian.net/@pythonhunter

时间线：

00:25 自我介绍
03:00 天气开场
06:57 新加坡简单轻松的感觉
11:36 新加坡和加州基础教育
21:56 新加坡和加州政府网站和公共服务
32:59 新加坡和加州的饮食
47:04 新加坡的家长式政府：HDB、民族大融合
57:06 新加坡的生活成本
1:06:00 新加坡的工作机会
1:11:45 美国和加州的看病区别
1:18:51 新加坡的休闲娱乐生活
1:35:55 新加坡对健康的重视
1:44:15 新加坡的技术氛围
1:52:14 总结时间

参考链接：

PISA 2022 results https://www.oecd.org/publication/pisa-2022-results/
Understanding Singapore Math https://search.arc.net/x0nQESzb6Ze9vYePie4E
新加坡副总理尚达曼打脸BBC主持人四十分钟全文 https://www.youtube.com/watch?v=brAUYIlpZxs
李光耀观天下 https://m.douban.com/book/subject/26413154/
饮料健康等级系统 Measures for Nutri-Grade Beverages https://hpb.gov.sg/healthy-living/food-beverage/nutri-grade （上海也试行饮料营养分级了：https://finance.sina.com.cn/jjxw/2024-04-09/doc-inarfrzq6245817.shtml ）
运动换取代金券的 App：Lumihealth https://www.lumihealth.sg/
Stranger Soccer https://www.strangersoccer.com/
National Parks https://www.nparks.gov.sg/
Visa Technology Traineeship Program https://www.visa.com.sg/careers/visa-tech-traineeship-program.html

二分电台：https://binary.2bab.me/

代码之外：https://bento.me/beyondcode

音频处理：西市独柳工作室 ( https://xishiduliu.com/ )

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