Abstract: To improve the acceleration performance, a hybrid state-triggered discretization (HSTD) is proposed for the adaptive gradient neural network (AGNN) for solving time-dependent linear ...
Abstract: Analog in-memory computing (AIMC) is attracting strong interest for accelerating data-intensive tasks such as artificial intelligence by overcoming the memory wall. Recently, closed-loop ...
A line of Nippon Pulse’s linear shaft motors that features analog Hall effect sensors to enable closed-loop positioning without a linear encoder. Linear motors can be described as uncurled 3-phase ...
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