Exploring the possibility of improving computer engineering methods through the study of biology, as certain biological processes have the ability to store memories and hold volatile RAM in the electrical state which has yet to be implemented in computer science.
This episode explores the concept of neuromorphic computing and how it ties into the workings of the brain. The focus is on the idea of supervised learning, where an external user can control synaptic weights to achieve desired network activity, as well as the concept of attractors and network dynamics.
The brain is an emergent property consisting of a bunch of different neurons firing together, resulting in a phenomenon of experiencing something more than just the neurons firing, which is insufficiently defined.
Stephen Wolfram explains his excitement about having a computational language to represent the knowledge base of civilization, and compares it to the invention of mathematical notation.
The hardware of life, DNA encodes the mystery of how one journey from physics to mind. There is no fixed point to determine the transformation of physics to true cognition in the universe.