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

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 ...

The next step in the evolutionary ladder of the information age is arguably the Internet-of-Things (IoT), the rapidly expanding global ecosystem of objects infused with Internet-connectivity through ...

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 ...

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 ...

BFCO 60-nm nanodots, with single domain structures, hold promise for high-density and low-power nonvolatile magnetic memory devices. Traditional memory devices are volatile and the current ...

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.

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 ...

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 second in a set of four blogs about projections for digital storage and memory for the following year that we have ...