is an "important milestone on the way to building a kernel that only uses stable Rust functions." This approach will also make integrating C and Rust code easier. We're getting much closer to ...

Conventional kernel least-mean-square (KLMS ... we analyze the bias terms generated by input noise and incorporate them into a modified cost function. The resulting BC-KLMS algorithm effectively ...

resulting in a over a 50% performance improvement for workloads frequently calling the function. Rounding out the performance side, io-uring support is available to FUSE filesystem operations, ...

This article, first, presents a new parametric level set function using kernel functions as a general formulation of spatially smooth function-based methods. It is called the kernel level set function ...

Linux kernel's eBPF feature put to unexpected new uses Anatomy of suspected top-tier NSA BPF backdoor Strobelight presently consists of 42 different profiling applications, a number of arguable ...

Figure 1 End-to-end pipeline for corn kernel classification and segmentation ... Both architectures use the same InfoNCE loss to maximize agreement, a loss function using categorical cross-entropy to ...

New research has found that data centres can reduce their energy usage by up to 30% simply by altering around 30 lines of code in the Linux kernel’s network stack. Research Firm Wiz Research ...

This package spatstat.explore is one of the sub-packages. It contains the main user-level functions that perform exploratory and nonparametric statistical analysis of spatial data, with the exception ...

Note that the kernel modules built here must be used with GSP firmware ... This has several implications for the foreseeable future: The GitHub repository will function mostly as a snapshot of each ...