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 ...

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 ...

Researchers have developed a new type of memory cell that can both store information and do high-speed, high-efficiency ...

This article examines five key hardware strategies for building energy-efficient AI acceleration: dedicated accelerator ...

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 ...

Hardware system that eliminates comparators, accelerates nonlinear sorting, and delivers massive gains in speed and energy ...

Sandisk has appointed two leading figures in computing to help shape the direction of its high-capacity memory tech for AI ...

In a new paper, researchers published to Nature titled "A crossbar array of magnetoresistive memory devices for in-memory computing" they explained that the key architectural innovation by the ...