11 posts found
The role of data in driving autonomous vehicles
Just a few days ago, the Directorate General of Traffic published the new Framework Programme for the Testing of Automated Vehicles which, among other measures, contemplates "the mandatory delivery of reports, both periodic and final and in the event of incidents, which will allow the DGT to assess…
How local councils drive open data in municipalities
Although local governments are the closest actors to citizens, they often face limitations in terms of resources and capacities to implement open data effectively. The diputations, as intermediate institutions between central government and municipalities, play a key role in coordinating, supporting…
SLM, LLM, RAG and Fine-tuning: Pillars of Modern Generative AI
In the fast-paced world of Generative Artificial Intelligence (AI), there are several concepts that have become fundamental to understanding and harnessing the potential of this technology. Today we focus on four: Small Language Models(SLM), Large Language Models(LLM), Retrieval Augmented Generation…
RAG techniques: how they work and examples of use cases
In recent months we have seen how the large language models (LLMs ) that enable Generative Artificial Intelligence (GenAI) applications have been improving in terms of accuracy and reliability. RAG (Retrieval Augmented Generation) techniques have allowed us to use the full power of n…
How Artificial Intelligence and Open Data can re-imagine our cultural future
We are currently in the midst of an unprecedented race to master innovations in Artificial Intelligence. Over the past year, the star of the show has been Generative Artificial Intelligence (GenAI), i.e., that which is capable of generating original and creative content such as images, text or music…
Open data as a source of knowledge for generative artificial intelligence
Generative artificial intelligence refers to machine’s ability to generate original and creative content, such as images, text or music, from a set of input data. As far as text generation is concerned, these models have been accessible, in an experimental format, for some time, but began to generat…
Artificial Intelligence applied to the identification and classification of diseases detected by radiodiagnosis
In this post we have described step-by-step a data science exercise in which we try to train a deep learning model with a view to automatically classifying medical images of healthy and sick people.
Diagnostic imaging has been around for many years in the hospitals of develo…
4 examples of harmonisation of datasets
In any project related to data, it is common to have different sources of information. Data is key for companies and public administrations, in decision making or as a basis for the implementation of projects, services or products. But if these data sources display information in a heterogeneous way…
Open data in the Spanish mobility strategy
Open mobility data plays a key role in transforming current transport networks and systems, promoting their digitization and improving their sustainability and efficiency. The European Union is aware of this situation, and for this reason it has not only included mobility data among the categories c…
Open data in the era of sustainable and smart mobility, according to European strategy
More than two years ago we started 2019 very hopeful about the progress that was being made in Spain regarding the openness of data related to transport and mobility, after a few years in which there had not been much progress. Although there is still room for improvement, especially in the availabi…
