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 ...

I have followed https://sedona.apache.org/latest/setup/databricks/ and use Sedona within Python with spark.sql and it works fine. I now wish to scale up and use a ...

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 ...

Think about the last time you walked down a crowded street, biked along a rocky hiking trail, or swum in a lake. You probably didn't have to stop and think about how you were going to navigate those ...

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 ...

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The brain creates internal 'maps' to help us navigate and learn from our surroundings, but how these maps form remains a challenge to understand. Now, a study led by Liset M. de la Prida at the Cajal ...

Abstract: Traffic forecasting is the foundation of intelligent transportation systems (ITS). In recent, graph neural networks (GNNs) have successfully captured spatial-temporal dependencies to ...