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 ›
What are quantum Turing machines? In today’s Mind Matters News podcast, Dr. Robert J. Marks and Dr. Paul Werbos explore the mind-boggling science of the quantum realm. Tune in to discover Werbos’s thoughts on historical scientists such as Albert Einstein and David Deutsch, the multiverse theory, and Schrödinger’s cat. Show Notes Additional Resources
Dr. Robert J. Marks and Dr. Paul Werbos pick up where they left off: the National Science Foundation (NSF) and its research in machine intelligence. Dr. Werbos praises the NSF as “the greatest temple of truth in human history” – that is, until recently. What happened? Who is responsible for its recent failings? And is there hope for return to Read More ›
In today’s episode, Dr. Robert J. Marks continues his conversation with Dr. Paul Werbos, the inventor of the most commonly used technique to train artificial neural networks. Listen in as they turn to the National Science Foundation, its role in steering research in artificial intelligence, and the major turning points in machine intelligence that Dr. Werbos witnessed as a program 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 Additional Resources