BMRUs enable analog recurrent neural network hardware via discrete outputs that suppress noise 20-fold, with one-to-one parameter-to-circuit mapping and linear power scaling for recurrence.
Silicon diode temperature sensors—a review of applications.Sensors and Actuators A: Physical, 232:63–74
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Nanogap patterning on NbTi thin-film resonators decreases TC by 1.5 K and raises dfres/dT to 62 MHz/K at 4.2 K, enhancing cryogenic thermometry sensitivity by 10x.
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Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations
BMRUs enable analog recurrent neural network hardware via discrete outputs that suppress noise 20-fold, with one-to-one parameter-to-circuit mapping and linear power scaling for recurrence.
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Surface nanostructuring of NbTi superconducting thin-film resonators for enhanced cryogenic thermometry
Nanogap patterning on NbTi thin-film resonators decreases TC by 1.5 K and raises dfres/dT to 62 MHz/K at 4.2 K, enhancing cryogenic thermometry sensitivity by 10x.