A dissertation titled “Novel Non-Volatile Memory Devices and Applications” was submitted by a researcher at University of California Berkeley. “This dissertation focuses on novel non-volatile memory ...
The type of memory a designer selects for an embedded project drives overall system operation and performance, so obviously this is a very important decision. Whether the system runs on batteries or ...
This FAQ will look at a lesser-known but commercially available RAM technology called resistive random-access memory (RRAM) ...
Nanoelectromechanical systems (NEMS) represent a transformative approach in the design of memory and logic devices, offering unprecedented energy efficiency and integration potential with standard ...
Scientists have achieved a breakthrough in the development of non-volatile phase change memory−−a type of electronic memory that can store data even when the power is turned off−−in a material that ...
SMART Modular Technologies has announced the availability of its Non-Volatile CXL Memory Module (NV-CMM) for Tier 1 OEMs, adhering to the CXL 2.0 standard. This module combines non-volatile DRAM, ...
A significant milestone has been reached in the advancement of non-volatile phase change memory, a form of electronic memory capable of retaining data even when power is disconnected, in a material ...
The IEEE International Solid State Circuits Conference celebrated its 70 th anniversary in San Francisco, CA. The conference covers all manner of solid-state electronics technology. In this article we ...
Forbes contributors publish independent expert analyses and insights. This is the third in a set of four blogs about projections for digital storage and memory for the following year that we have been ...
Spin-orbit transfer magnetic random-access memory (SOT-MRAM) is becoming more visible in next-generation memory offerings for its faster write speeds and much longer endurance. Two recent ...
Compute-in-memory (CiM) has become an attractive computing paradigm to address the memory and power walls in traditional designs for deep learning applications. With CiM, part of the computation ...
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