The constraints on feedforward neural system design using smart pixels

Smart pixels give a means of realising massively parallel optical processing, but there are always a number of trade-offs that need to be made so that the system becomes viable. We take a look at two optical neural network architectures under development, both of which incorporate in situ learning. The design constraints, and the requirements on the underlying theory that make them possible are briefly considered.