This Primer examines Skilling’s nested sampling algorithm for Bayesian inference and, more broadly, multidimensional integration. The principles of nested sampling are summarize ...

Ranked set sampling (RSS) is a sampling methodology designed to enhance the precision of parameter estimates by exploiting inexpensive or qualitative ranking of units prior to costly measurement. In ...

A benchmark study combining entropy-guided partitioning, machine learning and fuzzy inference improved voice-based ...

DeepSeek open-sources DeepInfer, its production AI inference framework for V4.1-Flash, under Apache 2.0 - but withholds ...

Intel starts customer sampling of its D270 data center GPU, pairing 160 GB to 480 GB of LPDDR5X memory with a 350W design aimed at AI inference.

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Representative and random sampling help ...

“I get asked all the time what I think about training versus inference – I'm telling you all to stop talking about training versus inference.” So declared OpenAI VP Peter Hoeschele at Oracle’s AI ...

Unlike traditional GPUs focused on game rendering, this series of accelerators is specifically designed to handle long-context processing and concurrent multi-p ...

Intel CEO Lip-Bu Tan delivers the Intel keynote at Computex 2026 in Taipei, Taiwan Intel Corporation Intel CEO Lip-Bu Tan used Tuesday's Computex 2026 keynote in Taipei to deliver the most detailed ...