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

Dynamic Random Access Memory (DRAM) remains a central element in computing architectures, but its intrinsic vulnerabilities and power demands have spurred a wealth of research focused on enhancing ...

Dynamic random access memory (DRAM) remains a cornerstone of modern electronic systems, enabling rapid data storage and retrieval. Recent developments have focused on capacitorless designs – notably ...

As devices from toys to cars get smarter at the Consumer Electronics Show, gadget makers are grappling with a shortage of ...

Driven by the AI boom, global computer memory prices have entered a record growth cycle, with DRAM increases outpacing gold ...

A specific component called dynamic random-access memory (DRAM) is vital for AI data centres and smartphones. Demand for high ...

Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten inference economic viability ...

Raspberry Pi has been taking action including qualifying new suppliers, developing products with reduced memory capacity and ...