Abstract: Graph convolutional network (GCN) provides an excellent feature extraction way for fusing condition monitored multi-channel signals, making it widely employed in fault diagnosis of rotating ...

An illustration of multicolored tangle of threads within a small black sphere. A 3D illustration shows DNA packaged into the nucleus, scientists with the 4D Nucleome project are now building accurate ...

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 ...

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 ...

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 ...

Spatial transcriptomics enables researchers to measure gene expression in tissue sections while preserving their spatial organisation. Unlike traditional RNA sequencing, which requires dissociating ...

ShapesXR (2021), the 3D and XR prototyping platform, just got a new animation feature that allows design teams to make their XR prototypes even more expressive and lifelike. The studio says the new ...

Summary: A new study reveals that the brain rapidly rewires itself to map rewarding experiences like food, even when the location of those rewards changes. Using virtual reality and real-time brain ...