In 1992, a new spatial temporal computing idea had been proposed, the CNN Universal Machine. It turned out that a new paradigm in computing on image flows, a Universal Machine on Flows, has ignited the intellect of hundreds of researchers. Today, visual microprocessors based on this idea can perform about TeraOPS computing power and 10 000 frames per second. In this paper, after a brief description of the history of the invention, architectural advances, physical implementation, algorithmic developments, as well as the biology relevance, theoretical aspects, mission critical applications, and new directions are reviewed.
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