Tether’s TurboQuant enables useful and powerful local AI applications on consumer devices at much lower costs and without ...

XCENA Inc., a startup with a memory device designed to speed up artificial intelligence clusters, today announced that it has raised $135 million in funding. The Series B round was led by Korean funds ...

Electronic devices power everyday life, from smartphones to medical sensors. Yet, as these gadgets grow in number, so does the mounting challenge of electronic waste, or e-waste. Physically transient ...

Scientists maximize the efficiency of hafnia-based ferroelectric memory devices. A research team led by Professor Jang-Sik Lee from the Department of Materials Science and Engineering and the ...

Profits are soaring, for now. That does not guarantee they will in the future.

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 storage element in NAND flash memory is the floating gate MOSFET transistor. These devices are similar to a standard MOSFET device, other than there is an addition isolated gate. When a NAND flash ...

Figure 1. Illustrations of the ultra-low power phase change memory device developed through this study and the comparison of power consumption by the newly developed phase change memory device ...

By David Shepardson WASHINGTON, June 3 (Reuters) - The increasing need for memory chips to power artificial intelligence data ...

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, ...

The premise of NOR flash diagnostics marks a shift from reactive fault handling to proactive health monitoring of memory ...