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https://www.nist.gov/patents/inventors/1160491
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Patents listed here reflect only technologies patented from FY 2018-present. To view all of NIST's patented technologies, visit the NIST pages on the Federal Laboratory Consortium website.
Adam McCaughan
,
Sonia Buckley
and
Andrew Dienstfrey
Parameter multiplexed gradient descent (PMGD) is a machine learning training method designed to easily train emergent non-volatile memory and neuromorphic hardware platforms.
A compact, low power cryo-cooler for cryogenic systems capable of cooling gas to at least as low as 2.5 K. The cryo-cooler has a room temperature compressor followed by filtration. Within the cryostat, four counterflow heat exchangers precool the incoming high-pressure gas using the outflowing low
This invention introduces a thermally coupled imager designed to detect and track single photons with high accuracy. It integrates a thermal detection layer with photon-sensitive pixels to enhance imaging precision. The system improves time and position-sensitive imaging, making it ideal for
Jeff Shainline
,
Adam McCaughan
and
Manuel Castellanos Beltran
Single-photon optoelectronic neurons convert the optical signals of single photons to the electrical domain where summing and thresholding operations are performed. In these circuits, the photonic signals are converted to an electronic signal using a superconducting single-photon detector in
A thermal impedance amplifier includes: a resistive layer including: a resistance member; a first electrode in electrical communication with the resistance member; and a second electrode in electrical communication with the resistance member; a switch layer opposing the resistive layer and including
Optoelectronic neural networks comprise a system of interconnected processing units (neurons) interconnected by integrated photonic waveguides. The processing units receive photonic signals from other units. Each unit sums the received signals on a waveguide-integrated photon detector, and when the