Why AI Lags Behind the Human Brain in Computational Power
Recent advances have made deep neural networks the leading paradigm of artificial intelligence. One of the great things about deep neural networks is that, given a large number of examples, they can learn how to act. This means we can get software to learn to do things that even their programmers don’t know how to do. The more complicated the task is, the more powerful the neural net has to be.
Although inspired by brain architecture, research on neural nets usually doesn’t have anything to do with actual neurons. But in a , Hebrew University of Jerusalem. The surprising result: a really, really powerful one.
