High-dimensional mean testing addresses the problem of comparing population average vectors when the number of variables approaches or exceeds the sample size. Classical multivariate procedures, such ...

Research has shown that testing enhances memory. However, less is known on whether testing can improve a person's ability to make inferences. A new study by the Human Memory and Cognition Lab at the ...

Statistical inference comprises the framework by which data are used to draw conclusions about underlying phenomena or populations. At its heart lies hypothesis testing, a procedure that evaluates ...

MLCommons today released the latest results of its MLPerf Inference benchmark test, which compares the speed of artificial intelligence systems from different hardware makers. MLCommons is an industry ...

Today was the release of the second round (version 0.7) of MLPerf Inference benchmark results. Like the latest training results, which were announced in July, the new inference numbers show an ...

The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses a challenge for real-world applications that use ...

Researchers at Texas Children's Neurological Research Institute (NRI) and Baylor College of Medicine have developed a powerful new tool within the Genome Aggregation Database (gnomAD) to sharpen the ...

MLCommons is out today with its latest set of MLPerf inference results. The new results mark the debut of a new generative AI benchmark as well as the first validated test results for Nvidia's ...

Viavi Solutions unveiled the latest iteration of its CyberFlood testing platform. The CyberFlood CF1000 Appliance is described as a native 400 Gb/s (400G) application performance test platform ...