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The advent of neural networks promised the computing world a machine that could actually think for itself-learn as people do, by extrapolating general rules from a set of examples, rather than being bound step-by-step by a program. From the start, however, computer scientists recognized a major problem: explaining how neural networks reached their conclusions. Now the Hecht-Nielsen Neurocomputer Co. has announced that it's developed software to open up and shed light on the "black box" that is t

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Jester recalls two cases in which poor planning necessitated expensive redesigning of biotech facilities. In one instance, four large freeze-driers, which would normally be placed toward the edge of a manufacturing facility, were put in the center of the building. This forced engineers to install the equipment while the plant was already in operation, disrupting normal workflow. Another biotech firm that was relocating delayed its personnel decisions for so long that it found itself without enough bathroom facilities.

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