(MENAFN- GetNews) An independently evaluated cognitive assessment shows that AI systems built with externalized memory architecture produce measurably different reasoning than the same models running ...

China Agentic AI OpenClaw surge signals a shift toward autonomous AI systems, reshaping cloud competition and enterprise ...

AI semiconductors have seen explosive growth, fueled by record hyperscaler capital expenditure and a compounding buildout cycle. As large-scale inference and agentic AI initiatives ramp up, memory has ...

Google said this week that its research on a new compression method could reduce the amount of memory required to run large language models by six times. SK Hynix, Samsung and Micron shares fell as ...

Micron, Samsung and SK Hynix, the world's top memory makers, all made headlines this week. Micron's stock fell after it blew away earnings expectations and raised spending expectations, while Samsung ...

The big picture: Google has developed three AI compression algorithms – TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss – designed to significantly reduce the memory footprint of large ...

Non-volatile technologies like MRAM and particularly ReRAM are poised to finally take a major leap into the embedded-memory design space. What is trending in embedded memory technology? Why ReRAM is ...

A two-day selloff in memory-chip stocks is revealing a new split in the artificial intelligence trade, as Google touts a breakthrough that analysts say may curb demand for certain types of storage.