AI is driving demand and higher prices for DRAM and NAND into 2026.  Products using non-volatile memories to replace NOR and ...

UD’s Tingyi Gu receives NSF CAREER award to study materials that can create more reliable, less energy-intensive forms of computer memory To develop the types of high-speed, energy-efficient ...

Non-volatile memory (NVM) systems and architectures have emerged as pivotal components in modern computing, offering the combined benefits of data persistence and enhanced energy efficiency. With ...

Terahertz light can reversibly switch an unusual form of structural order in solids—called ferroaxiality—between clockwise and counterclockwise rotational patterns. Modern society relies on digital ...

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 ...

A long-running problem in the computer world is that DRAM is the fastest memory available but also volatile, so it can't hold onto its data when power is shut off. This makes it useless for data ...

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.

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 ...

The demand for embedded flash memory has grown steeply over the years as many new applications emerged in consumer electronics (touchscreens, smart cards, bank cards, mobile payment, e-passport, etc.) ...

Most smartphones and computers today boast extremely fast read and write speeds, thanks to a paradigm shift towards flash memory, especially in consumer PCs. NAND flash memory finds use in a variety ...

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 ...