SIGB10 Newsletter pago 2 intractibme problems to theoretical investigation. ~t also provides a fantastic prosthetic tool for gathering data and analyzing complex patterns of data. Many computer scientists involved in biological studies ~such as this authorp are actively engaged in these types of activities. More recently there has been a considerable amount of talk about using biological materials for designing new types of computers and of sculpting new computing concepts out of the remarkable information processing phenomena exhibited by biological systems. One coutd attempt to project the future by reviewing these variegated and promising developments. The projection would undoubtedly be quite positive. But for the purposes of the present commentary t would like to confine myself to a single consideration which I believe is compelling. The consideration resides not in the similarity between present day digital computers and biological systems, but in their differences. Serial digital computers (yon Neumann machines) are built to be programmed in an effective manner. They are built out of a small set of simple switching elements whose structure has an arbitrary relationship to the problem at hand. This is what allows effective programming and what allows the machine to serve as a universal
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