How Can AI & the Human Brain Work Together? – Michael Platt & Zab Johnson | AI in Focus Series

Knowledge at Wharton

Episode Description

EPISODE OVERVIEW Wharton’s Elizabeth (Zab) Johnson and Michael Platt join Eric Bradlow, vice dean of Analytics at Wharton, to discuss how AI is being used in neuroscience to better understand the human brain. The conversation covers remarkable research developments in measuring brain activity, replicating speech and mobility, mental health, and more. This interview is part of a special 10-part series called "AI in Focus."

Topics and questions covered: 00:00 - Introductions 0:53 - What is the Wharton Neuroscience Initiative? 2:30 - Ways technology has changed neuroscience 6:11 - Organic Intelligence vs. Artificial Intelligence 11:19 - Uses of AI in neuroscience today 15:56 - Does neuroscience depend on pattern recognition? 21:11 - Applications of AI/neuroscience in business 25:22 - Potential frontiers of AI

SERIES OVERVIEW The artificial intelligence revolution is officially upon us. Hear from host Eric Bradlow, Vice Dean of Analytics at Wharton, as he meets with Wharton faculty experts across a wide range of business domains – from healthcare and neuroscience to sports and the auto industry – to learn how AI will impact these fields moving forward, and what we can do to stay ahead of the curve.

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Brief Summary

Zab Johnson and Michael Platt discuss AI's role in neuroscience, technology's impact, and the upcoming brain capital conference.

Key points

  • Welcome to the Podcast. The latest edition of the Wharton AI podcast kicks off with exciting discussions.
  • Understanding the Neuroscience Initiative. Zab Johnson explains the goals of the Wharton Neuroscience Initiative.
  • The Evolution of Neuroscience Technology. Michael Platt discusses how technology has transformed neuroscience research.
  • Organic vs Artificial Intelligence. A deep dive into the differences between organic intelligence and AI.
  • AI's Role in Neuroscience. Zab Johnson shares how AI is currently being utilized in neuroscience.
  • Decoding Thoughts. Scientists decoded what a person was reading, capturing the gist of their thoughts.

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