Kernel methods represent a cornerstone in modern machine learning, enabling algorithms to efficiently derive non-linear patterns by implicitly mapping data into high‐dimensional feature spaces. At the ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression using the C# language. NW kernel regression is simple to implement and is ...

Much of modern operating system functionality happens in and around the kernel. That’s a problem when you’re implementing monitoring and observability tools or adding low-level security tools because ...

A new feature added in test snapshots for OpenBSD releases will create a unique kernel every time an OpenBSD user reboots or upgrades his computer. This feature is named KARL — Kernel Address ...

It used to be that building the Linux kernel was not easy. Testing and debugging were even worse. Nowadays, it is reasonably easy to build a custom kernel and test or debug it using virtualization.

Editor's Note: Linux remains an attractive option for embedded systems developers. In fact, industry surveys such as the Embedded Market Study by UBM (EDN's parent company) consistently show interest ...

Editor's Note: Embedded Linux has consistently ranked among the top operating systems used in embedded system design. With the rapid growth in interest in the Internet of Things (IoT), the ability of ...