On the opportunities and challenges of foundation models for geospatial artificial intelligence
Large pre-trained models, also known as foundation models (FMs), are trained in a task-
agnostic manner on large-scale data and can be adapted to a wide range of downstream …
agnostic manner on large-scale data and can be adapted to a wide range of downstream …
[PDF][PDF] Artificial general intelligence (AGI) for education
Artificial general intelligence (AGI) has gained global recognition as a future technology due
to the emergence of breakthrough large language models and chatbots such as GPT-4 and …
to the emergence of breakthrough large language models and chatbots such as GPT-4 and …
Towards a foundation model for geospatial artificial intelligence (vision paper)
Large pre-trained models, also known as foundation models (FMs), are trained in a task-
agnostic manner on large-scale data and can be adapted to a wide range of downstream …
agnostic manner on large-scale data and can be adapted to a wide range of downstream …
[PDF][PDF] Symbolic and subsymbolic GeoAI: Geospatial knowledge graphs and spatially explicit machine learning.
The field of Artificial Intelligence (AI) can be roughly divided into two branches: Symbolic
Artificial Intelligence and Connectionist Artificial Intelligence (or so-called Subsymbolic AI) …
Artificial Intelligence and Connectionist Artificial Intelligence (or so-called Subsymbolic AI) …
Geolm: Empowering language models for geospatially grounded language understanding
Humans subconsciously engage in geospatial reasoning when reading articles. We
recognize place names and their spatial relations in text and mentally associate them with …
recognize place names and their spatial relations in text and mentally associate them with …
[HTML][HTML] How can voting mechanisms improve the robustness and generalizability of toponym disambiguation?
Natural language texts, such as tweets and news, contain a vast amount of geospatial
information, which can be extracted by first recognizing toponyms in texts (toponym …
information, which can be extracted by first recognizing toponyms in texts (toponym …
AGI: Artificial general intelligence for education
Artificial general intelligence (AGI) has gained global recognition as a future technology due
to the emergence of breakthrough large language models and chatbots such as GPT-4 and …
to the emergence of breakthrough large language models and chatbots such as GPT-4 and …
Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models (Vision Paper)
In recent years we have seen substantial advances in foundation models for artificial
intelligence, including language, vision, and multimodal models. Recent studies have …
intelligence, including language, vision, and multimodal models. Recent studies have …
TopoBERT: a plug and play toponym recognition module harnessing fine-tuned BERT
Extracting precise geographical information from the textual content, referred to as toponym
recognition, is fundamental in geographical information retrieval and crucial in a plethora of …
recognition, is fundamental in geographical information retrieval and crucial in a plethora of …
Philosophical foundations of geoai: Exploring sustainability, diversity, and bias in geoai and spatial data science
K Janowicz - Handbook of Geospatial Artificial Intelligence, 2023 - taylorfrancis.com
This chapter presents some of the fundamental assumptions and principles that could form
the philosophical foundation of GeoAI and spatial data science. Instead of reviewing the well …
the philosophical foundation of GeoAI and spatial data science. Instead of reviewing the well …