Coherent Market insight has published a latest research study “Resistive Random Access Memory Market” 2023 analysis by the following subjects: Industry size, share, growth, segmentation, manufacturers ...
An analog-based chip that enables processing "in memory." Invented at the Peking University in 2025 for matrix equation solving, resistive RAM (RRAM) speeds up the massive amounts of multiply-and-add ...
The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...
Resistive random-access memory (RRAM) is a highly attractive form of RAM, as it promises low-power usage with stable long-term storage, even in the absence of external power. Finding the right ...
Silicon IP provider eMemory and pure-play foundry United Microelectronics (UMC) have announced that eMemory's resistive random access memory (RRAM) IP has been qualified on UMC's 22nm ultra-low power ...
Hosted on MSN
ReRAM is back in play and may one day be a genuine 'successor to flash memory' thanks to manufacturing investment
Amid a memory supply crisis, in small part fueled by a shortage of NAND flash, it's perhaps unsurprising that talk of a successor would now appear. Enter ReRAM, or 'resistive random access memory.' ...
In modern CPU device operation, 80% to 90% of energy consumption and timing delays are caused by the movement of data between the CPU and off-chip memory. To alleviate this performance concern, ...
Peking University, October 14, 2024: Fundamental to the development of artificial intelligence (AI), associative memory models of neural networks are designed to store and quickly retrieve information ...
RRAM is an emerging memory technology along with memristors that stores data by changing the electrical resistance rather than electronic charge. Compared to conventional memory devices, RRAM offers ...
“As the demands of big data applications and deep learning continue to rise, the industry is increasingly looking to artificial intelligence (AI) accelerators. Analog in-memory computing (AiMC) with ...
Much like the end of Moore’s Law, the scaling challenges of flash memory have been a significant issue for several years. Embedded flash memory is reaching its limits as technology nodes for embedded ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results