Chip startup Mythic Inc. today announced that it has closed a $125 million funding round led by DCVC. The venture capital ...

Embedded systems such as Internet of Things (IoT) devices and single-board computers possess limited memory and processing power, necessitating the effective management of these constraints. This ...

Embedded systems need more power and reliability in smaller designs. What if one chip could boost speed, cut energy use, and ...

This FAQ will look at a lesser-known but commercially available RAM technology called resistive random-access memory (RRAM) ...

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.

Rising AI demand is pushing up memory chip prices, raising costs for PCs, smartphones and other consumer electronics in 2026.

TOKYO--(BUSINESS WIRE)--Kioxia Corporation, a world leader in memory solutions, today announced that it has begun sampling (1) new Universal Flash Storage (2) (UFS) Ver. 4.1 embedded memory devices ...

The global rush by chipmakers to produce AI chips is tightening supply of less glamorous chips used in smartphones, computers and servers, spurring panic buying by some customers and a surge in their ...

Edge AI—enabling autonomous vehicles, medical sensors, and industrial monitors to learn from real-world data as it arrives—can now adopt learning models on the fly while keeping energy consumption and ...

Facepalm: After consuming virtually the entire GPU market, generative AI and large language models are now putting pressure on DRAM and other mainstream memory products. Consumers are likely to feel ...

Embedded Dynamic Random Access Memory (eDRAM) design is rapidly evolving to meet the escalating performance and energy efficiency demands of contemporary processors. This technology has emerged as a ...