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Live Science on MSNNew memory chip controlled by light and magnets could one day make AI computing less power-hungryResearchers have developed a new type of memory cell that can both store information and do high-speed, high-efficiency ...
One notable example is in-memory computing based on crossbar arrays of non-volatile memories that execute, in an analogue manner, multiply–accumulate operations prevalent in artificial neural networks ...
This article examines five key hardware strategies for building energy-efficient AI acceleration: dedicated accelerator ...
Abstract “Conventional resistive crossbar array for in-memory computing suffers from high static current/power, serious IR drop, and sneak paths. In contrast, the “capacitive” crossbar array that ...
More information: Tinish Bhattacharya et al, Computing high-degree polynomial gradients in memory, Nature Communications (2024). DOI: 10.1038/s41467-024-52488-y ...
Near-memory systems stack the logic and memory on top of one another in a 3D array, they’re layered PB&J-style, while in-memory systems intersperse clusters of logic throughout the memory on a ...
At the 2021 IEEE IEDM and MRAM Forum there were advances reported on MRAM, FeRAM, RRAM and PCM, including the use of these emerging memory technologies to enable in-memory computing. Hprobe was ...
Titled ‘A crossbar array of magnetoresistive memory devices for in-memory computing’ 1, this paper showcases Samsung’s leadership in memory technology and its effort to merge memory and ...
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