Abstract: Graph Neural Networks (GNNs) have emerged as a promising solution for few-shot hyperspectral image (HSI) classification. However, existing GNN-based approaches face critical limitations in ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

The new Thermal Trace app allows users to explore thermal stress and related data from 1940 until five days before present, for anywhere in the world. The app, free for users, was developed by the ...

When children assemble puzzles, build block towers, or follow instructions for folding three-dimensional origami figures, they’re using spatial skills—the ability to visualize, manipulate, and make ...

Microsoft Corp. today is expanding its Fabric data platform with the addition of native graph database and geospatial mapping capabilities, saying the enhancements enhance Fabric’s capacity to power ...

A new MCP Server for Fabric has also been added to enable developers to connect agents to Fabric’s ecosystem to accelerate tasks, such as creating a data pipeline or notebook. Microsoft is adding two ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

We often think of memory as stable—a mental archive that stores experiences in neat, retrievable files. But what if those files quietly shift positions, even when the original experience hasn’t ...

Metformin is a widely used first-line therapy for type 2 diabetes, and studies increasingly point to its protective effects on the kidney. However, the mechanisms underlying metformin’s renal benefits ...