DeepSeek's new Engram AI model separates recall from reasoning with hash-based memory in RAM, easing GPU pressure so teams ...

Researchers have learned a lot about how memory works. Their insights form the basis of clever strategies that help us ...

Abstract: Dedicated neural-network inference-processors improve latency and power of the computing devices. They use custom memory hierarchies that take into account the flow of operators present in ...

Walk into any modern AI lab, data center, or autonomous vehicle development environment, and you’ll hear engineers talk endlessly about FLOPS, TOPS, sparsity, quantization, and model scaling laws.

The super-exponential growth of data harvested from human input and physical measurements is exceeding our ability to build and power infrastructure to communicate, store and analyze, making our ...

The relentless advancement of artificial intelligence (AI) across sectors such as healthcare, the automotive industry, and social media necessitates the development of more efficient hardware ...

Dec 3 (Reuters) - Memory chipmaker Micron Technology (MU.O), opens new tab said on Wednesday it will exit its consumer business, as it doubles down on advanced memory chips used in artificial ...

Bill McColl has 25+ years of experience as a senior producer and writer for TV, radio, and digital media leading teams of anchors, reporters, and editors in creating news broadcasts, covering some of ...

It's almost time to return to the world of Caten in The Strength of the Few, the second novel in James Islington's best-selling fantasy series Hierarchy. The Strength of the Few hits stores next ...

DRAM access latency is typically 50–100 ns, which at 3 GHz corresponds to 150–300 cycles. Latency arises from signal propagation, memory controller scheduling, row activation, and bus turnaround. Each ...