Current Projects

Health scientific discovery and innovation are expected to quickly move forward under the so-called “fourth paradigm of science”, which relies on unifying the traditionally separated and heterogeneous high-performance computing and big data analytics environments. Under this paradigm, the DeepHealth project will provide HPC computing power at the service of biomedical applications; and apply Deep Learning (DL) techniques on large and complex [...]

Los sistemas de reconocimiento de formas (pattern recognition) y aprendizaje automático (machine learning) no están libres de errores en sus predicciones por lo que en muchos casos es necesario la interacción con el usuario. En el paradigma del reconocimiento de formas interactivo se aprovecha la realimentación multimodal proporcionada por el usuario en cada interacción con el sistema, tanto para mejorar [...]

This project aims to make a step forward in the development of user centric intelligent tools for extracting knowledge from historical data. Starting from the recognition of historical document images and including the user in the loop through engaging experiences, we will develop the concept of the big data of the past. As use case driving the research, we will construct [...]

The objective of this subproject is to develop the necessary tools for the automatic understanding and categorization of food labeling by the purchasing users. To this end, from images acquired from a mobile device, it is intended to make a literal transcription of the labeling of food products. This literal transcript may be used by other project members to assess [...]

SELENE is aimed at proposing a new family of safety-critical computing platforms that builds upon open source components such as RISC-V cores, GNU/Linux, and Jailhouse hypervisor. SELENE will develop an advanced computing platform that is able to: adapt the system to the specific requirements of different application domains, to the changing environmental conditions, and to the internal conditions of [...]

The COVID-19 pandemic has increased the population’s time of exposure to digital content and produced a notable increase in disinformation. According to Eurobarometer 2018 no. 464, the majority of the Spanish population (88%), considers that disinformation is a problem. 66% claim to encounter false information at least once a week (Eurobarometer 503, 2020). If we take into account that Spanish [...]

IBERIFIER is an Iberian hub that aims to tackle disinformation in Spain and Portugal by bringing together a consortium of 23 partners, composed of 12 universities, 5 independent fact-checking organisations and publicly-owned news agencies, and 6 leading institutions on strategic analysis, computer and data science, and media research. With the support of public authorities of both countries, relevant media organisations, several [...]

The main objective of SimancasSearch is the development of innovative and efficient techniques for i) enriching large handwritten document collections with transcription and semantic information, and ii) searching and localizing logical records in large collections. These techniques will rely on the probabilistic lattices and the PrIx’s derived from the HTR process in order to represent the uncertainty associated not only [...]

Societies are increasingly divided and polarized. This polarization is driven by two connected issues: the lack of communication between groups, and the use of hate speech. With social media speeding up the spread of hateful ideologies, polarization and technology go hand in hand. Statistics reveal the scale of the problem; 41% of people have been the target of hate speech. [...]