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 ...

Conditional independence testing seeks to determine whether two random variables are independent given the value of a third. This concept underpins causal discovery, graphical modelling and variable ...

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 ...

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 ...

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 ...

This slide shows how a membership inference attack might start. Assessing the product of an app asked to generate an image of a professor teaching students in “the style of” artist Monet could lead to ...

Pilot Expected to Go Live Within Approximately 12 weeks; Serves as Initial Proof Point for the Company's AI/HPC Data Center Program in Alberta AI inference is the work of running large AI models to ...

If program staff suspects you may have used AI tools to complete assignments in ways not explicitly authorized or suspect other violations of the honor code, they will contact you via email. Be sure ...

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 ...