Hybrid memory technology enables Edge devices to learn from real-world data without relying on Cloud infrastructure.

It is anticipated that within just a few decades, the surging volume of digital data will constitute one of the world's ...

In classical computer systems, Random Access Memory (RAM) is used for efficient storage and retrieval of data. However, with the widespread application and increasing complexity of quantum computers, ...

CAMBRIDGE, England & SANTA CLARA, Calif.--(BUSINESS WIRE)--Blueshift Memory, designer of a novel proprietary high-speed memory architecture, has announced that the Cambridge Architecture™ has been ...

The patent describes the development of high-bandwidth dual inline memory modules (HB-DIMMs) that use pseudo channels and specialized data routing to boost performance. Rather than re-engineering ...

The hybrid memory system combines the best traits of ferroelectric capacitors and memristors in a single memory stack.

Smart memory node device from UniFabriX is designed to accelerate memory performance and optimize data-center capacity for AI workloads. Israeli startup UniFabriX is aiming to give multi-core CPUs the ...

Distinguished Industry Leaders Professor David Patterson and Raja Koduri Appointed Inaugural Members Sandisk Corporation (NASDAQ: SNDK) today announced the formation of a Technical Advisory Board to ...

Micron said its next-gen HBM4 memory will debut in 2026 while current HBM3E chips already power Nvidia's top AI systems, ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...