Closing the Gap: Broadband, eGovernment, and Access to Healthcare w/ Cara Chiaraluce & Host Lloyd Levine

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

לפני 13 ימים1:14:43

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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…

לפני שנה 57:59

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In this episode, Cara Chiaraluce, Santa Clara University Professor of Sociology, talks with the UC Riverside School of Public Policy about the impact of internet access on health outcomes. This is the sixth episode in our 11-part series, Technology vs. Government, featuring former California State Assemblymember Lloyd Levine.

About Cara Chiaraluce:

Cara Chiaraluce specializes in the fields of carework, gender and family, and health. Chiaraluce has published articles in the Journal of Family Issues, American Behavioral Scientist, and her forthcoming book Becoming an Expert Caregiver: How Structural Flaws Shape Autism Carework and Community (Rutgers University Press, 2024) examines the process through which lay women become expert caregivers to provide the best care for their children. Prior to joining the department in 2015, she taught Sociology at UC Davis (where she won the 2013 "Excellence in Undergraduate Education Award") and California State University- Sacramento. Chiaraluce is originally from Boston, Massachusetts, received her B.A. in Sociology from Assumption College, and M.A. and Ph.D. from UC Davis.

Learn more about Cara Chiaraluce via https://www.scu.edu/cas/sociology/faculty-and-staff/cara-chiaraluce/

Interviewer:

Lloyd Levine (Former California State Assemblymember, UCR School of Public Policy Senior Policy Fellow)

Music by: Vir Sinha

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