The explosion in data forcing chipmakers to get much more granular about where logic and memory are placed on a die, how data is partitioned and prioritized to utilize those resources, and what the ...

The biggest challenge posed by AI training is in moving the massive datasets between the memory and processor.

The "The Global Market for Low Power/High Efficiency AI Semiconductors 2026-2036" has been added to ResearchAndMarkets.com's offering. The market for low power/high efficiency AI semiconductors stands ...

We take many things in the semiconductor world for granted, but what if some of the decisions made decades ago are no longer viable or optimal? We saw a small example with finFETs, where the planar ...

The MarketWatch News Department was not involved in the creation of this content. SUNNYVALE, Calif., Oct. 20, 2025 (GLOBE NEWSWIRE) -- GSI Technology, Inc. (Nasdaq: GSIT), the inventor of the ...

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 ...

Artificial intelligence presents a major challenge to conventional computing architecture. In standard models, memory storage and computing take place in different parts of the machine, and data must ...

PALO ALTO — Untether AI, an at-memory computation company for artificial intelligence (AI) workloads, today announced at the HOT CHIPS 2022 conference its next-generation architecture for accelerating ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more As enterprises continue to adopt large ...

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 ...