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 ...

Everspin Technologies, Inc. (NASDAQ: MRAM), the world’s leading developer and manufacturer of magnetoresistive random access memory (MRAM) persistent memory solutions, today announced the UNISYST MRAM ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. AI is driving significant investments in computing, networking, storage and memory for ...

Researchers scientists have unlocked a new realm of possibilities for non-volatile phase change memory, a type of electronic memory capable of retaining data even without power. Traditionally, ...

Non-volatile memory (NVM) systems represent a transformative shift in data storage, blending the speed of conventional memory with the endurance of persistent storage. These systems enable data to ...

Nanoelectromechanical systems (NEMS) represent a transformative approach in the design of memory and logic devices, offering unprecedented energy efficiency and integration potential with standard ...

Highest performance, most reliable embedded memory technology in GF’s NVM portfolio is now available for prototyping. MALTA, N.Y., March 12, 2026 -- GlobalFoundries (Nasdaq: GFS ...

Ongoing innovation in semiconductor technologies, algorithms and data science are making it possible to incorporate some degree of AI inferencing capability in an increasing number of edge devices.

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, ...

What is PCMO ReRAM? Difference between filamentary and PCMO ReRAM. Why tunable persistence is important. The idea of non-volatile, resistive RAM (ReRAM) has been around for a while. Its aim is to ...

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 ...