Neural network demonstrated using semiconductor laser modes Neural network demonstrated using semiconductor laser modes by Sunny Bains Neural networks are part processor and part memory. They are particularly important to intelligent computing because they allow machine learning.
Digital neurons have the disadvantage of being very big.
This means you can get relatively few on a chip. The more neurons you have, the more pins you need for good interconnectivity and to make many chips operate efficiently as a single network. For this reason, optical neural networks have been a continuing area of investigation, and one that is likely to become increasingly important. The first is their sensitivity to feedback, and the second is the fact that they generally contain many different modes. How they manipulate these properties to form a neural network is shown in figure 1.