Claude code skills are an effective way to automate repetitive workflows, combining structured logic with adaptive AI-driven processes. As Jannis Moore explains, these skills are built around two core ...

Earth observation machine learning pipelines differ fundamentally from standard computer vision workflows. Imagery is typically delivered as large, georeferenced scenes, labels may be raster masks or ...

A 14-core parallel run is used in this case. You can change the number of cores by editing the system/decomposeParDict script.

We should showcase OpenFOAM tutorials using sphinx-gallery to provide interactive, well-documented examples. sphinx-gallery is a powerful tool that: Converts Python scripts into documentation with ...

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...

In this tutorial, we’ll explore a range of SHAP-IQ visualizations that provide insights into how a machine learning model arrives at its predictions. These visuals help break down complex model ...

Kiro is the new Amazon Web Services IDE for creating software projects using agentic AI. A developer using Kiro creates a specification for the desired program, and Kiro uses Claude Sonnet (3.7 or 4.0 ...

What if you could eliminate the frustration of repetitive coding tasks while making sure your workflows run like clockwork? Imagine a tool that not only automates ...

Abstract: In this article, the features of a two-phase flow near a perforated sheet were studied in an experimental setup, and numerical modeling of this process was performed using the OpenFOAM CFD ...

In this tutorial, we explore an innovative and practical application of IBM’s open-source ResNet-50 deep learning model, showcasing its capability to classify satellite imagery for disaster management ...