AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
Virtual Knowledge Graphs is used—a paradigm that presents data to end-users as a knowledge graph, while being kept its original sources and formats to bridge the semantic gap between EO data and these other sources.
SeaScope is presented, an explainable AI framework that integrates LLMs, Retrieval-Augmented Generation (RAG), scientific knowledge retrieval, and Google Earth Engine (GEE) to transform natural-language requests into transparent and executable EO workflows.
Publicly-funded Earth Observation (EO) missions present unprecedented challenges and opportunities for observing our changing planet and applying the knowledge gained to benefit society. As EO mission data continue to grow in volume and complexity, a paradigm shift in how we make that data available and engage data use...
LOFAR and the SKA Observatory are two of the most data–intensive scientific facilities ever conceived. They present extreme challenges in terms of both the total amount of computing and the complexity of the algorithms required to analyse the data. The best way to address these challenges is through cooperation. In thi...
The ellipsoidal geometry, the CPU/GPU-capable resampling architecture, and the implementation of metadata fields defined by CF 1.13 and version 1 of the Pilot Zarr DGGS convention are described, establishing ellipsoidal HEALPix/Zarr as a common representation that connects climate and Digital Twin Earth datasets with e...
Collaborative research projects in life sciences increasingly need to integrate private, embargoed consortium data with public reference databases in order to reach statistically meaningful interpretations. The Resource Description Framework (RDF) is well suited to this task: it facilitates the integration of heterogen...
Data-driven prediction and decision-making increasingly depend on large-scale data lakes and machine learning (ML) and deep learning (DL) analytics across a wide range of application domains. Nevertheless, although geospatial vector data constitutes a substantial fraction of contemporary datasets, it has remained prima...
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