Current Projects

Although social media are the default channel used by people to share information, ideas and opinions, they may contribute paradoxically to the polarization of society as we have recently witnessed in the last presidential elections in the USA and in the Brexit referendum. Every user ends up receiving only the information that matches her personal beliefs and viewpoints, with the [...]

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 Starting from the recognition of historical document images and including the user in the loop through engaging experiences, we will develop the concept of the big data of the past.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 [...]