Abstract: We present two novel memory-dense and fully parallel architectures for analog sparse matrix multiplication: one based on memristive nanowires, and the other based on 3D lithographic ...

Abstract: We propose an efficient quantum subroutine for matrix multiplication that computes a state vector encoding the entries of the product of two matrices in superposition. The subroutine ...

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In a significant step toward rehabilitation, 18 individuals were granted a chance to rewrite their narratives after graduating from a program designed to help former inmates reintegrate into society.

Data centers face a conundrum: how to power increasingly dense server racks using equipment that relies on century-old technology. Traditional transformers are bulky and hot, but a new generation of ...