SAN JOSE, Calif., May 21, 2026 (GLOBE NEWSWIRE) -- Zscaler, Inc. (NASDAQ: ZS), the cybersecurity platform for the AI era, today announced the intent to acquire Symmetry Systems, Inc., a pioneer in ...

Automated map generalisation is the process of automatically reducing and transforming the detail of spatial data to produce legible maps at varying scales. Key operations include simplification, ...

Unlike traditional 3D reconstruction methods that process a complete set of images offline, LingBot-Map operates on a "see-as-you-go" principle. It continuously estimates the camera's position and ...

Abstract: Convolutional neural networks (CNNs) and graph neural networks (GNNs) are two widely used architectures in hyperspectral image (HSI) classification. Most CNN models tend to heavily rely on ...

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 ...