What Matters: A Paul Hastings podcast

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

13 giorni fa1:14:43

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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…

What Matters: A Paul Hastings Podcast

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Podcast by Paul Hastings LLP

3 episodi

#Society #Paul Hastings LLP

What Matters: A Paul Hastings Podcast

updated 2 anni fa

Pagina principale della serie•Feed

Podcast by Paul Hastings LLP

3 episodi

#Society #Paul Hastings LLP

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What Matters: A Paul Hastings Podcast

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Paul Hastings Leads Major Pro Bono Effort For Afghan Women With Sisters Of Service 49:58

2 years fa49:58

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49:58

After female members of the U.S. military helped 43 Afghan women with whom they had worked leave Afghanistan and get to the United States, the next step was to apply for immigration benefits. Renata Parras, Paul Hastings ESG counsel, created a legal task force to navigate their pathway to resettlement in the United States. In this episode, we talk with two members of the U.S. military, who cofounded the organization Sisters of Service and tell the story of working alongside these Afghan women, the bonds they formed, how they helped these women get out of Afghanistan, and their ongoing efforts to support these women and their families. We also talk with Renata to learn how this major pro bono effort evolved and the legal process for these female heroes as they seek to remain in the United States.…

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