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Sep 26, 2019

Randomly Wired Networks: A Breakthrough In Neural Architecture Search

Posted by in categories: innovation, robotics/AI

AI pioneer Frank Rosenblatt in his famous 1958 paper on perceptron, wrote that the physical connections of the nervous system are not identical and at birth, the construction of the most important networks is largely random. This was the early days of computational breakthroughs and the researchers were already hinting that it’s okay to be unorganised when it comes to machines.

Today, the success of deep learning approaches owes in large to the enhancements of neural networks over the years. These networks are built on rules which allow them to interact with other nodes within the network. The way a connection is established also has a say in the rate at which the network learns a certain task.

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