TL;DR: SK hynix and TetraMem developed an analog in-memory computing chip that processes AI tasks directly in memory, reducing energy use, latency, and data transfer bottlenecks. This memristor-based ...
Non-volatile memory is an important component in a wide range of high-performance embedded applications. Especially, many consumer, industrial, and medical applications need increased re-writability ...
A research team led by Kyushu University has developed a new fabrication method for energy-efficient magnetic random-access memory (MRAM) using a new material called thulium iron garnet (TmIG) that ...
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