Abstract: This paper explores a method for preserving correlations between random variables in the state-space sampling technique that is adopted in Non-Sequential Monte Carlo Simulation. The proposed ...

Bone density might not be the first thing you think about when you hit the gym, but it’s one of the most important markers of long-term health. It plays a major role in how strong your bones are and ...

Hackers are abusing a legitimate but long-revoked EnCase kernel driver in an EDR killer that can detect 59 security tools in attempts to deactivate them. An EDR killer is a malicious tool created ...

The Linux kernel development cycle continues with the release of Linux 6.19-rc4, the fourth release candidate in the lead-up to the final 6.19 stable kernel. As with previous RC builds, this release ...

The stable release of Linux Kernel 6.18 was officially tagged on November 30, 2025. It’s expected to become this year’s major long-term support (LTS) kernel, something many users and distributions ...

California state Sen. Scott Wiener addresses housing advocates and members of the California Conference of Carpenters at the opening of an affordable housing apartment complex in San Francisco on Oct.

Browser infrastructure platform for artificial intelligence agents startup Kernel Technologies Inc. announced today that it has raised $22 million in funding to scale its platform so AI agents can ...

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...

Linux 6.17 features significant CPU improvements. It addresses the eternal Spectre and Meltdown security holes. The next release, 6.18, will be a long-term support kernel. Linus Torvalds is the first ...

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...

Abstract: To effectively address the challenges of undersampling techniques when handling imbalanced data, a new undersampling ensemble learning algorithm based on Kernel Density Estimation (KDEE) is ...