At the University of Twente in the Netherlands, researchers have developed a brain-inspired disordered network for detecting ordered patterns, which uses "hopping conduction" to reach solutions without predesigned elements.
The disordered dopant atom network uses material properties to evolve towards a solution; it is energy-efficient and requires little surface space.
The researchers fed the network 16 four-digit patterns, each yielding a different output signal, which permitted the network to learn to recognize a database of handwritten letters with great accuracy.
Future applications could include pattern recognition, with potential benefits for autonomous driving and facial recognition.
From University of Twente (Netherlands)
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Abstracts Copyright © 2020 SmithBucklin, Washington, DC, USA
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