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 ...

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, ...

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

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 ...

Mythic has chosen memBrain™ neuromorphic hardware intellectual property (IP) from Microchip Technology’s (Nasdaq: MCHP) Silicon Storage Technology ® (SST ®) subsidiary for its next-generation edge to ...

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 ...

Tessent MemoryBIST from Siemens EDA provides a complete solution for at-speed test, diagnosis, repair, debug and characterization of embedded memories. Leveraging a flexible hierarchical architecture, ...

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 ...