ABSTRACT: The objective of modelling from data is not that the model simply fits the training data well. Rather, the goodness of a model is characterized by its generalization capability, ...

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 ...

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Chipotle founder Steve Ells is making another rather substantial pivot. His startup concept Kernel in New York City is being completely reworked as an artisanal “mostly sandwich” concept called ...

As AI continues to reshape the way developers build applications, Microsoft's Semantic Kernel is emerging as a powerful tool for integrating AI-driven capabilities into existing codebases -- without ...

On Jan. 19, Linus Torvalds officially released the Linux 6.13 kernel. I can't call the 6.13 kernel a major release, but it's still a step forward in performance, security, and hardware support. That's ...

Apple recently addressed a macOS vulnerability that allows attackers to bypass System Integrity Protection (SIP) and install malicious kernel drivers by loading third-party kernel extensions. System ...