Demand for memory chips currently exceeds supply and there's very little chance of that changing any time soon. More chips ...

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 ...

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 ...

Stanford, CMU, Penn, MIT, and SkyWater Technology reached a major milestone by producing the first monolithic 3D chip ...

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--Enfabrica Corporation, an industry leader in high-performance networking silicon for artificial intelligence (AI) and accelerated computing, today announced the ...

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.

Artificial intelligence has been bottlenecked less by raw compute than by how quickly models can move data in and out of memory. A new generation of memory-centric designs is starting to change that, ...

Non-volatile memory (NVM) systems and architectures have emerged as pivotal components in modern computing, offering the combined benefits of data persistence and enhanced energy efficiency. With ...

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