Design and Implementation of a Flexible Neuromorphic Computing System for Aff…
Neuromorphic computing is expected to realize fast and energy-efficient artificial neural networks and address the inherent limitations of von Neumann architectures in dedicated communication appli…
QNG : A Quasi-Natural Gradient Method for Large-Scale Statistical Learning
Natural gradient method provides a powerful paradigm for training statistical models and offers several appealing theoretic benefits. It constructs the Fisher information matrix to correct the ordi…
A Brain-Inspired In-Memory Computing System for Neuronal Communication via Me…
Brain-inspired approaches can efficiently analyze the activities of biological neural networks and solve computationally hard problems with energy efficiencies unattainable with von Neumann archite…
Photosensitive Polymer-Based Micro-Nano Long-Period Fiber Grating for Refract…
In this paper, we propose and demonstrate a photosensitive polymer-based micro-nano long-period fiber grating (PPMN-LPFG) for refractive index (RI) sensing. We coat liquid photosensitive polymer on…
Ultrasensitive Multiple Guided-Mode Biosensor With Few-Layer Black Phosphorus
With few-layer black phosphorus (BP)-based one-dimensional photonic crystal (1DPC), a novel optical biosensor based on the guided-mode resonance (GMR) is proposed for enhancing the sensitivity. Due…
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