This article outlines the design strategies currently used to address these bottlenecks, ranging from data center systolic ...

The soaring cost and limited supply of computer memory is slowing some projects — and spurring creative approaches.

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

A new study explores how artificial intelligence models can support clinical decision-making for sepsis management. Their research, titled “Responsible AI for Sepsis Prediction: Bridging the Gap ...

This paper proposes a new algorithm that allows us to compute pairwise-correlation sensitivities in a Monte Carlo framework by modifying only one trajectory at ...

Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data ...

The memory chip shortages probably won't last forever.

NetApp (NTAP) offers an attractive valuation for a stock that has demonstrated stability and robust profitability, with ...

On the post-quantum side, Cryptolib now includes hardware-accelerated implementations of three families of NIST-standardized PQC algorithms: ML-KEM, ML-DSA, and SLH-DSA. The SLH-DSA (SPHINCS+) ...

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, ...