38 posts found
How to ensure the authenticity of satellite imagery
Synthetic images are visual representations artificially generated by algorithms and computational techniques, rather than being captured directly from reality with cameras or sensors. They are produced from different methods, among which the antagonistic generative networks (Generative Adversarial…
Sustainable artificial intelligence: how to minimise the environmental impact of AI
Artificial intelligence (AI) has become a key technology in multiple sectors, from health and education to industry and environmental management, not to mention the number of citizens who create texts, images or videos with this technology for their own personal enjoyment. It is estimated that in Sp…
AI tools for research and a new way to use language models
AI systems designed to assist us from the first dives to the final bibliography.
One of the missions of contemporary artificial intelligence is to help us find, sort and digest information, especially with the help of large language models. These systems have come at a time when we most need to mana…
Exploring space from the ground: open satellite data in Europe and its applications
The value of open satellite data in Europe
Satellites have become essential tools for understanding the planet and managing resources efficiently. The European Union (EU) has developed an advanced space infrastructure with the aim of providing real-time data on the environment, navigation and meteor…
Environmental data spaces: key to the success of the European Green Pact
The European Green Deal (Green Deal) is the European Union's (EU) sustainable growth strategy, designed to drive a green transition that transforms Europe into a just and prosperous society with a modern and competitive economy. Within this strategy, initiatives such as Target 55 (Fit for 55), which…
New geospatial data capture techniques: innovations for more efficient data governance
Geospatial data capture is essential for understanding our environment, making informed decisions and designing effective policies in areas such as urban planning, natural resource management or emergency response. In the past, this process was mainly manual and labour-intensive, based on ground mea…
Open source auto machine learning tools
The increasing complexity of machine learning models and the need to optimise their performance has been driving the development of AutoML (Automated Machine Learning) for years. This discipline seeks to automate key tasks in the model development lifecycle, such as algorithm selection, data process…
The Interoperable Europe Act
One of the main requirements of the digital transformation of the public sector concerns the existence of optimal interoperability conditions for data sharing. This is an essential premise from a number of points of view, in particular as regards multi-entity actions and procedures. In particular, i…
Digital twins: advantages and use cases in Spain
A digital twin is a virtual, interactive representation of a real-world object, system or process. We are talking, for example, about a digital replica of a factory, a city or even a human body. These virtual models allow simulating, analysing and predicting the behaviour of the original element, wh…
Common European public sector data spaces
The strong commitment to common data spaces at European level is one of the main axes of the European Data Strategy adopted in 2020. This approach was already announced in that document as a basis, on the one hand, to support public policy momentum and, on the other hand, to facilitate the developme…
