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Great Minds with Michael Medved Podcast with In Depth Conversations about Timeless Topics
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Animals, Computers, and Distinctly Human Intelligence | Robert J. Marks II

Episode
19
With
Michael Medved
Guest
Robert J. Marks
Duration
00:22:47
Download
Audio File (20.9 mb)
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Human intelligence sits between fundamental, unbridgeable chasms on either side: animal and artificial intelligence. The capacity for creativity, for one thing, stands permanently outside the reach of algorithms. In a wide-ranging conversation, Robert Marks and Michael Medved tackle questions like what it means for something to be not just unknown but “unknowable.”

A Creative Mind

Robert Marks directs the Walter Bradley Center for Natural and Artificial Intelligence. He is Distinguished Professor of Electrical and Computer Engineering at Baylor University and an expert in the area of computational intelligence and neural networks. He is a Fellow of both the Institute of Electrical and Electronic Engineers (IEEE) and the Optical Society of America. He has authored, co-authored, or edited more than 400 publications, including over 160 journal articles and books published by Oxford University Press and MIT Press.

Video

Show Notes

  • 00:00 | An opportunity to visit Israel — from archaeology to high tech — with Michael Medved, Stephen Meyer, George Gilder, and Titus Kennedy
  • 03:25 | Swarm intelligence in nature and deriving algorithms
  • 04:20 | Mysteries of salmon and Monarch butterfly migrations
  • 04:40 | What are analogous mysteries in artificial intelligence?
  • 05:00 | Alan Turing and the astonishing Halting problem
  • 06:07 | What is the difference between being unknown and being unknowable?
  • 07:05 | Something unknowable: the potential extent of image compression
  • 09:55 | What are non-algorithmic distinctive properties of being human?
  • 10:35 | Can computers age? That is, can they mature?
  • 12:00 | Soul, spirit, and human uniqueness amongst the animals
  • 13:30 | Deep learning and inferring from examples
  • 14:45 | Can computers wonder or pose problems?
  • 15:15 | Evolutionary computing to design an antenna at NASA
  • 16:45 | Frankenstein and artificial general intelligence
  • 17:30 | Unanticipated contingencies and allowing self-driving car casualties
  • 18:45 | What is the most noteworthy, categorical difference between human and artificial intelligence? 

Discovery Institute