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.
"The objective was to study sensory fusion in biological systems and then translate that knowledge into the creation of intelligent computational machines," says Martin McGinnity, Professor of Intelligent Systems Engineering and Director of the Intelligent Systems Engineering Laboratory (ISEL) at the University of Ulsters Magee Campus and coordinator of the Future and Emerging Technologies(FET) initiative-funded SENSEMAKER project of the IST programme.
Tara Morris | alfa
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