Demand for memory chips currently exceeds supply and there's very little chance of that changing any time soon. More chips ...
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.
Weebit Nano has entered into a licensing agreement with Texas Instruments (TI) to supply its ReRAM technology.
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.
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 ...
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 ...
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 ...
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 ...
Smart meters are critical to modern energy infrastructure, enabling dynamic pricing, real-time analytics, and carbon accountability. Their effectiveness depends entirely on consistent data accuracy.
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 ...
The big picture: If successfully scaled to industrial production, these chips could extend Moore's Law into the atomic domain by enabling far greater component density without incurring ...