University develops smart glass that could offer a new route to artificial intelligence and machine vision

Smart glass uses inclusions that scatter light forwards and backwards to mimic linear matrix multiplication in a digital artificial neural network.

Researchers at the University of Wisconsin-Madison developed a smart glass that recognizes images without external power or circuits.
Researchers at the University of Wisconsin-Madison developed a smart glass that recognizes images without external power or circuits.
Photo by Sam Million-Weaver and University of Wisconsin-Madison

MADISON, Wis. – A new type of smart glass, developed by a team at the University of Wisconsin-Madison, leverages optical reflection to recognize images without requiring sensors, circuits, internet connection, or external power sources. Vision Spectra reports. Continue reading original article

The Military & Aerospace Electronics take:

10 July 2019 -- Everything needed for image recognition is condensed into single pieces of glass. The technology could be used someday to embed facial recognition in smartphones. The glass distinguishes among different images by distorting incoming light waves.

The glass works as a nanophotonic media that can perform nonlinear mode mapping in a way that is comparable to artificial neural computing. Complex information is encoded in the wavefront of an input light. When the light wave enters the glass, the glass transforms the wavefront to perform computing tasks such as image recognition.

Computation happens when a host material with inclusions that appear as bubbles and impurities embedded in the glass scatter light forwards and backwards to differentiate images. The scattering mixes the input light similarly to linear matrix multiplication in a digital artificial neural network for artificial intelligence.

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John Keller, chief editor
Military & Aerospace Electronics

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