Multivariate statistical inference encompasses methods that evaluate multiple outcomes or parameters jointly, allowing researchers to understand complex interdependencies within data. Permutation ...

Landscape and Clonal Dominance of Co-occurring Genomic Alterations in Non–Small-Cell Lung Cancer Harboring MET Exon 14 Skipping Pathogenic germline variants (PGVs) in cancer susceptibility genes are ...

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 ...

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 ...

Adding big blocks of SRAM to collections of AI tensor engines, or better still, a waferscale collection of such engines, turbocharges AI inference, as has ...

Hardware-in-the-loop setup combines ray tracing, full 5G stack and AI inference to test next-gen RAN features entirely inside the lab.

Although OpenAI says that it doesn’t plan to use Google TPUs for now, the tests themselves signal concerns about inference costs. OpenAI has begun testing Google’s Tensor Processing Units (TPUs), a ...