There is a large potential payoff for successful application of rapid laser beamsteering techniques to optical media access. Optical disc storage provides a huge amount of memory; can this memory be utilized effectively for AI applications? The ultimate capability of an AI expert may be related to the amount of memory available. This paper describes the considerations which are likely to be important for implementation of rapid memory access techniques. Two issues are likely to be important. First, rapid access to the storage medium will have a strong influence on real-time performance, and second, automated learning and organization of knowledge will be important to get large amounts of information into the expert system. A review of laser beamsteering techniques suitable for random access to optical memory media is presented, grouped according to basic principles of operation. Photorefractive beamsteering, which may be particularly useful for optical computing applications, is discussed in detail. In the second part of the paper, methods for creation, organization, and utilization of very large rule bases are considered, and preliminary experiments in this area are presented.
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