Teaching a machine to sense its environment is one of the most intractable problems of computer science, but one European project is looking to nature for help in cracking the conundrum. It combined streams of sensory data to produce an adaptive, composite impression of surroundings in near real-time. The team brought together electronic engineers, computer scientists, neuroscientists, physicists, and biologists. It looked at basic neural models for perception and then sought to replicate aspects of these in silicon.
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