The brain, according to Ray Kurzweil, consists of repeating modules that self-organize into hierarchies that build simple patterns into complex concepts. We don’t have a complete understanding of how this process works yet, but Kurzweil believes that as we study the brain more and reverse engineer what we find, we’ll learn to write a master algorithm.
For many years, Ray Kurzweil has been evangelizing his theory of how the brain deals with information, and how this understanding can be used to develop artificial intelligence. He recently discussed how our understanding of the neocortex could lead to finding a 'master algorithm' for Singularity University. (See video below.)
"The complexity of the brain does have a regular, repeating structure"
In his book How to Create a Mind: The Secret of Human Thought Revealed
Kurzweil explored the limitless potential of reverse-engineering the human brain, specifically the neocortex. "The basics of human intelligence is pattern matching," Kurzweil relates.
In order for a digital neocortex to learn a new skill, it will still require many iterations of education, just as a biological neocortex does, but once a single digital neocortex somewhere and at some time learns something, it can share that knowledge with every other digital neocortex without delay, according to the futurist and Google director of Engineering.The master algorithm in the brain is the use of repeating patterns, Kurzweil suggests.
"The complexity of the brain does have a regular, repeating structure," according to Kurzweil. "Each of these 300 million modules is basically the same. They self-organize into hierarchies, and each module discovers a pattern, learns it, remembers it, and can recognize it, even in different contexts."
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The brain, according to Kurzweil, consists of repeating modules that self-organize into hierarchies that build simple patterns into complex concepts. We don’t have a complete understanding of how this process works yet, but Kurzweil believes that as we study the brain more and reverse engineer what we find, we’ll learn to write the master algorithm.Interestingly, Kurzweil claims his system is not based on deep neural networks, or deep learning, and offers another way to pursue smart machines.
Kurzweil is an inventor, thinker, and futurist famous for forecasting the pace of technology and predicting the world of tomorrow. In this video, Kurzweil suggests the blueprint for the master algorithm—or a single, general purpose learning algorithm—is hidden in the brain..
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