Abstract: Traditional support vector machine needs pre-assumed kernel functions. This paper proposes a method via gene expression programming to automatically construct the kernel. The contributions ...

This repository explores Linux kernel modules, diving into differences between modprobe and insmod (1_modprobe_vs_insmod), and delves deeper into the internal module ...

According to @soumithchintala, the new Vibe-coding setup designed for GPU programmers represents a major leap in accelerating the development of custom GPU kernels. This authoring experience, ...

Meta has introduced KernelLLM, an 8-billion-parameter language model fine-tuned from Llama 3.1 Instruct, aimed at automating the translation of PyTorch modules into efficient Triton GPU kernels. This ...

ABSTRACT: The Negative Binomial Multiple Change Point Algorithm is a hybrid change detection and estimation approach that works well for overdispersed and equidispersed count data. This simulation ...

Functional programming, as the name implies, is about functions. While functions are part of just about every programming paradigm, including JavaScript, a functional programmer has unique ...

At the KubeCon + CloudNativeCon + Open Source Summit in Hong Kong last week, Linus Torvalds, the creator of the Linux kernel, provided a rare glimpse into the inner workings of the open source ...

As AI matures, agents are one of the most significant areas of development, and Microsoft's Semantic Kernel AI dev tooling is getting them as an experiment for now. Agents go beyond the initial model ...