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 ...

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.

IIT Guwahati develops strategic devices for Energy Conversion and Neuromorphic Memory with Hybrid Perovskites-a new Semiconductor Material ...

A team of researchers has proposed a new concept for magnet-based memory devices, which might revolutionize information storage devices owing to their potential for large-scale integration, ...

In the era of big data and machine learning technology, performing low-power in-memory computing operations is becoming an increasingly important requisite. While much advance has been achieved in ...

The use of RFID and contactless smart card technology is exploding and devices (e.g. tags, tokens, cards) all require embedded memory arrays that suit the needs of the application. All of these ...

The history of storage devices is quite literally a race between the medium and the computing power as the bottleneck of preserving billions of ones and zeros stands in the way of computing nirvana.

The perovskite-based platform combines high-efficiency solar energy conversion with advanced memory functions needed for AI ...

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 ...