Researchers from the Department of Computer Science at Bar-Ilan University and from NVIDIA's AI research center in Israel ...

Abstract: Pansharpening aims to recover the spectral information and spatial details of high-resolution multispectral (HRMS) images with high accuracy. In this context, we design a triple-scale ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

In the race to deliver faster, smarter, and more resilient networks, CSP and telco leaders are finding a powerful ally in geospatial innovation. Once used primarily for emergency response and basic ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min The St. Louis Business Journal's ...

Musa Kazim Azimli, a fifth-year doctoral candidate in history at the University of Virginia, tells the stories of spaces that no longer exist. Specializing in slavery in the Middle East, his research ...

The Geospatial Professional Network (formerly URISA) is seeking respondents to its 2025 GIS Management Survey. The survey is part of a research project on geographic information system (GIS) ...

In iOS 26, Apple's Spatial Scenes feature can transform ordinary photos into dynamic, three-dimensional pictures that respond to your movements. By adding depth and subtle motion to flat images, this ...

Abstract: This paper extends the classical network calculus to spatial scenarios, focusing on wireless networks with differentiated services and varying transmit power levels. Building on a spatial ...

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 ...