Mind Matters Natural and Artificial Intelligence News and Analysis

Tagerror backpropagation algorithm

professional-woman-who-studies-the-computer-stockpack-adobe-stock
Professional woman who studies the computer

Paul Werbos: The National Science Foundation and AI

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…

artificial-intelligence-connections-and-nucleus-in-concept-of-interconnected-neurons-abstract-background-with-binary-numbers-neural-network-and-cloud-computing-stockpack-adobe-stock
Artificial intelligence, connections and nucleus in concept of interconnected neurons. Abstract background with binary numbers, neural network and cloud computing.

How Marvin Minsky Inspired Artificial Neural Networks

And what Minsky said when a scientist seeking to further develop the field finally met him

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:…