Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

A natural or man-made disaster must be predicted accurately and in time. Advanced modelling is essential to predict increasingly frequent and intense natural events, enabling better response and ...

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 ...

Abstract: The growing need for geospatial data analysis highlight's location privacy issues. Although existing technologies such as differential privacy and location obfuscation can be relatively ...

This study develops a framework for sustainable agriculture in an arid Egyptian region, enhancing food security through advanced assessments of crop suitability. By integrating freely accessible ...

BENGALURU, India—The Bengaluru Tech Summit 2025 witnessed the unveiling of Bhu Drishti, a revolutionary geospatial platform for real estate, by Datasamudra. The partnership with TalkingLands and ...

Acquiring, processing, and visualizing geospatial data requires significant computing resources, especially for large spatio-temporal domains. This challenge hinders the rapid discovery of predictive ...