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Menlo Park-Atherton|Local Event

Author Talk with James Wang on "What You Need to Know About AI"

Author Talk with James Wang on "What You Need to Know About AI"

Event Details

Atherton Library, 2 Dinkelspiel Station Ln, Atherton, CA, 94027
More info here

Join technologist and investor James Wang for an inspiring author talk as he discusses how AI is shaping our work, learning, and daily connections. Guests can enjoy a compelling conversation between James and Nydia Zhang, plus free copies of the book will be available on a first-come, first-served basis while supplies last.

  • Cost: Free
  • Registration: Recommended/Required
  • Audience: Adults/Teens/All Ages
  • Book Signing: Yes/No
  • Q&A: Yes
  • Accessibility: ADA accessible
  • Parking: Available onsite/nearby
  • Contact: smcl.org/get-in-touch

About the Book

In What You Need to Know About AI, James Wang cuts through the noise around one of today’s most talked-about technologies. With clarity and insight, he explores the history, principles and real-world implications of AI, helping readers better understand a fast-changing field that is already influencing daily life.

Meet James Wang

James Wang is a technologist, investor and writer with over a decade of experience in AI and deep tech. He is a general partner at Creative Ventures, an early-stage deep tech fund backing breakthroughs in AI, synthetic biology and advanced materials.

Previously, James worked at Bridgewater Associates and worked at Google's "moonshot" innovation lab, X. He has served as a board director at startups working in AI, healthcare and robotics and is a regular guest lecturer at UC Berkeley on entrepreneurship and startup financing.

Meet Featured Host Justin Kuczynski

Justin Kuczynski is an engineering lead and technologist with over a decade of experience in machine learning and computational science. He currently works on large-scale systems at Google, where he focuses on building the complex modeling infrastructure that powers modern digital tools.

Previously, Justin earned a PhD in computational biology and spent years working at the intersection of tech and the life sciences, building and applying machine learning models to solve fundamental challenges in human health. Having tracked the evolution of data-driven modeling from early academic research to industry applications, he maintains high hopes for AI's potential to improve human health and generally aid human flourishing.

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