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 ...

Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

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 ...

An erroneous term. Storage devices, including magnetic disks and tapes, solid state disks (SSDs) and rewritable optical discs, hold their content permanently until purposely changed (they are non ...

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.

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.