A recent report explores how new non-volatile memories will play in monetizing AI, leading to significant revenue growth for manufacturers and equipment suppliers.

The hunt is on for anything that can surmount AI’s perennial memory wall–even quick models are bogged down by the time and energy needed to carry data between processor and memory. Resistive RAM (RRAM ...

A novel type of three-dimensional (3D) polar topological structure, termed the "polar chiral bobber," has been discovered in ...

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 ...

Artificial Intelligence (AI) and Machine Learning (ML) applications are driving increased demand for high-performance, low-power memory solutions across consumer, medical, and industrial markets.

Researchers have developed a technology for voltage-controlled magnetization switching, which has the potential to be implemented in next-generation computational memory. This advanced technology ...

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 ...

A new technical paper titled “Nonvolatile electrochemical memory at 600°C enabled by composition phase separation” was published by researchers at University of Michigan and Sandia National ...

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 ...

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 ...