Abstract: A novel vehicle rollover warning algorithm based on support vector machine (SVM) empirical model is proposed to improve the real-time of un-tripped rollover warning algorithm and accuracy of ...

Abstract: Malware detection is one of the challenging tasks in Cyber security. The advent of code obfuscation, metamorphic malware, packers and zero day attacks has made malware detection a ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

The company is combining human-reviewed AI tools with interactive, gamified learning to improve safety training, incident ...

Tom Fenton explains how local AI fits into the broader private AI discussion for VMware environments, distinguishing enterprise-scale private AI deployments from smaller local AI setups running on ...

Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.

SkiaSharp 4.148.0 marks the first stable release in the SkiaSharp v4 line. The project is now co-maintained by Microsoft's .NET team and Uno Platform, reflecting a broader open-source collaboration.

This is a package with state of the art methods for Explainable AI for computer vision. This can be used for diagnosing model predictions, either in production or while developing models. The aim is ...

Leaders at EBRAINS, a collection of tools and data resources for basic neuroscience research, are finalizing the platform’s 10-year plan amid calls to improve its usability.

* Conducted image annotation, text data cleaning, text vectorization, and data preprocessing for machine learning projects. * Created data visualizations to support data-driven decisions. * ...