Conventional computers based on the work of John von Neumann and Alan Turing are all that most of us have ever worked with. They are superbly suited to solving problems by calculating and performing input/output functions very rapidly. Their success is largely due to the fact that they are incredibly good at doing the thing humans are bad at doing. But what about learning from the environment and gaining the ability to solve problems in new ways? These are things that people do well and, according to the latest research, they are things that computers based on neural networks can also do. How is this accomplished? What are the benefits? What are the implications? We’ll answer these questions and more.
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