The brain is a marvelous organ still not understood. Artificial neural networks are supposed to be a simulation of the human brain. But comparing the brain to an artificial neural network is like comparing the human heart to a pump handle. Dr. Andrew Knox and Dr. Robert J. Marks discuss the brain, aging, and neurology. Additional Resources
Early in his career, IEEE fellow and retired National Science Foundation program director Paul Werbos developed the neural network training algorithm known as error backpropagation, which has been foundational to the vast majority of today’s advances in artificial intelligence. Listen in as he discusses his work in this area and other topics, including his tenure with the National Science Foundation, Read More ›
AI must do what it is designed to do, but what if it doesn’t? What if AI begins behaving in bizarre and unpredictable ways? The more complex the system, the more that it can go wrong. Robert J. Marks discusses artificial general intelligence (AGI) with Justin Bui and Samuel Haug. Show Notes 00:37 | Introducing Justin Bui and Samuel Haug Read More ›
Dr. Paul Werbos calls it “a soap opera you wouldn’t believe”: the story of how a young Werbos was inspired by the pioneering computer scientist to pursue the development of artificial neural networks, and how Minsky later could not support the effort for disbelief that there was a solution to its many problems. In this week’s podcast, Dr. Robert J. Marks interviewed Dr. Paul Werbos, famous for his 1974 dissertation which proposed training artificial neural networks through the use of a backpropagation of errors. The two discuss Werbos’s journey in the development of artificial neural networks and the role Marvin Minsky played throughout. This portion begins at 04:25. A partial transcript, Show Notes, and Additional Resources follow. Robert J. Marks: Read More ›
The applications of artificial neural networks are legion. Today, Robert J. Marks talks with Dr. Paul Werbos, the man who invented the method used for over four decades to train artificial neural networks. The two discuss Werbos’s mathematical journey, the error backpropagation algorithm, and the slog of “making it” in scientific academic research. Show Notes 01:19 | Introducing Dr. Paul Read More ›
Artificial intelligence has been in the news for a long time. Robert J. Marks airs one of his older interviews with Jim French on KIRO Radio to show the similarity to today’s reporting on artificial intelligence. Mind Matters News appreciates the permission of Jim French and KIRO Radio in Seattle to rebroadcast this interview. Show Notes 01:08 | Do computers Read More ›