9 posts found
Federated machine learning: generating value from shared data while maintaining privacy
Data is a fundamental resource for improving our quality of life because it enables better decision-making processes to create personalised products and services, both in the public and private sectors. In contexts such as health, mobility, energy or education, the use of data facilitates more effic…
The role of open data in the evolution of SLM and LLM: efficiency vs. power
Language models are at the epicentre of the technological paradigm shift that has been taking place in generative artificial intelligence (AI) over the last two years. From the tools with which we interact in natural language to generate text, images or videos and which we use to create creativ…
Linguistic corpora: the knowledge engine for AI
The transfer of human knowledge to machine learning models is the basis of all current artificial intelligence. If we want AI models to be able to solve tasks, we first have to encode and transmit solved tasks to them in a formal language that they can process. We understand as a solved task informa…
The benefits of open data in the agriculture and forestry sector: the case of Fruktia and Arbaria
As in other industries, digital transformation is helping to change the way the agriculture and forestry sector operates. Combining technologies such as geolocation or artificial intelligence and using open datasets to develop new precision tools is transforming agriculture into an increasingly tech…
Copernicus, the European Earth Observation Program
Geospatial data is one of the data categories most demanded by organizations, companies and citizens. The new European regulation on open data and reuse of public sector information considers them as high-value data, due to its ability to boost innovative services and generate socio-economic benefit…
The agroclimatic information system for irrigation (SiAR)
The data generated by the agroclimatic stations maintained by the different public administrations and integrated into the Agroclimatic Information System for Irrigation (SiAR) generate valuable open data sets for the agricultural sector. These data, combined with other open data sets, such as weath…
The transversality of open climate data
Humans have been interested in weather prediction for several millennia. This interest goes back at least until the Babylonian civilization, when meteorological predictions were already made based on astrology and the clouds patterns. However, it was in the early twentieth century when decisive prog…
Technologies that boost the precision forestry industry
The forest industry, as defined by FAO, include all economic activities that mostly depend on the production of goods and services from forests. This is an industry that, in many cases, has been seen as destructive to the environment due to its relationship with the tree felling. However, in almost…
Applications of [open] data science for agriculture
In many areas, there is a false belief that the primary sector is a technologically backward sector that is not involved in digitization. Perhaps because throughout history, as economic development indicators progressed, their weight in GDP and employment rates has been decreasing in favor of other…
