How to use a robot’s brain

My piece yesterday was called How to Build a Robot’s Brain. It was about computer scientists’ quest to build a “general learner” – a computer algorithm smart and flexible enough to learn anything you put in front of it. In other words, software that can mimic the human brain. I wrote about  the five types of learning algorithm they’ve come up with so far: connectivist, evolutionary, symbolist, bayesian, and analogist. Needless to say, it’s highly complicated. I won’t pretend I fully understand it all. But I have learned a couple of interesting ideas from reading up on this stuff. Today I want to share some of those ideas with you, and show how investors are putting them to work. Fusty old academics Machine learning is an old part of computer…


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