Abstract
Neural networks (NNs) form a basis for future generations of computing machines. These machines will operate in a massively parallel way and will learn to process information by adaptation. For practical “neurocomputers” the more complex the processing required for pattern recognition, control, expert analysis, etc, the more highly parallel the networks need to be. Now research on how to combine specialised arrays of optoelectronic devices with optical interconnects to build “optoelectronic neural networks” (OENNs) is creating a lot of excitement in the information handling business. Free- space optical interconnects can in principle overcome the bottlenecks experienced in present semiconductor-based computer architectures and allow such highly parallel machines to be realised. The current difficulties with implementing optical hardware are still being resolved. But despite this, research suggests that optoelectronic neural networks could be the most important building block of 21st century parallel computing machines.
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