GeoAI- The future was here!

Martin Chandler

doi:10.15353/acmla.n172.5458

GeoAI- The future was here!

Auteurs-es

Martin Chandler Cape Breton University

DOI :

https://doi.org/10.15353/acmla.n172.5458

Mots-clés :

Artificial Intelligence,, AI, Deep Learning, Machine Learning, GeoAI, GIS

Résumé

Artificial Intelligence (AI) in the geospatial data sphere has been around for some time - albeit under different monikers, including "deep learning" and "machine learning". Both commercial and open-source software have options for the current brand of AI, and these are discussed. Some machine learning training models are also openly available for use. Whether any of this will be relevant tomorrow is given cursory consideration.

Biographie de l'auteur-e

Martin Chandler, Cape Breton University

Martin Chandler is the Liaison and Data Services Librarian at Cape Breton University, Sydney, Nova Scotia.

Téléchargements

PDF (English)

Publié-e

2023-08-03

Comment citer

Chandler, M. (2023). GeoAI- The future was here!. Bulletin - Association of Canadian Map Libraries and Archives (ACMLA), (172), 27–29. https://doi.org/10.15353/acmla.n172.5458

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Numéro

No. 172 (2023): ACMLA Bulletin Summer 2023

Rubrique

GIS Trends

Licence

Cette œuvre est sous licence Creative Commons Attribution - Pas d'Utilisation Commerciale 4.0 International.

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