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Brain-Like Network Uses Disorder to Detect Order


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Top view (from a scanning electron microscope) and side view (drawing) of the boron-doped structure.

Researchers at the Netherlands' University of Twente have developed a brain-inspired network capable of detecting ordered patterns.

Credit: University of Twente (Netherlands)

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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