Proyectos

La propuesta ST4HPC se centra en avanzar los componentes en el software stack necesarios para la utilización de sistemas de Computación de Altas Prestaciones (CAP) compuesto por procesadores multi-núcleo y acelerados en clúster. El proyecto enfatiza la programabilidad, portabilidad e interoperabilidad en entornos paralelos, distribuidos y...

This research proposal focuses on the development of novel algorithms and use case applications of Tensor Networks (TNs), a new and extremely powerful framework providing a way to systematically perform controlled truncations of high-dimensional linear algebra problems. This represents a formidable tool, which has allowed to study with unprecedented accuracy a wide variety of...

During the last decades, the wind energy produced in Europe has reached up to 11% and is expected to keep growing, reducing the CO2 yearly produced and the usage of non-renewable energy. One crucial factor for wind energy to reach this relevance is the improvement ofsimulation tools in the early stages of the wind farm design.

Simulation has allowed...

The goal of this project consists of finding and understanding novel designs for quantum and classical photonic setups using artificial intelligence (AI) methods to assist us. The AI methods we want to focus on are based on logic AI, an AI paradigm that has powered remarkable discoveries recently, but that is significantly less explored than other AI paradigms such as machine...

RAPIDO (A RApid model for Predictive maintenance of composite structures with different Impact Damage scenariOs) aims to provide a rapid predictive tool for safe and intelligent vehicles for civil or defense applications. Continuous monitoring of the structure's health by employing sensors guarantees the structure's safety at any moment. For instance, the detection of any...

The world is experiencing a pivotal era marked by technological developments and breakthrough advances in Artificial Intelligence (AI). One such development is the advent of Large Language Models (LLMs), which will be a disruptive force that profoundly reshapes industries and society. Notwithstanding, the slow down in transistor miniaturization and clock frequency increases...

La Biomedicina y la Epidemiología están explorando el por qué algunas personas son más propensas a enfermedades como la Diabetes Tipo 2, problemas cardíacos y trastornos relacionados con la edad. Existen desafíos importantes para crear modelos de predicción fiables que consideren tanto nuestros genes como nuestro estilo de...

La comunidad Europea alrededor de la tecnología de computación de altas prestaciones está trabajando para alcanzar la soberanía Europea. El Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) juega un papel clave en el diseño y desarrollo de los próximos supercomputadores basados en tecnología...

SYNTHIA is an ambitious collaboration between public and private institutions to facilitate the responsible use of Synthetic Data (SD)in healthcare applications. The project will improve the methodological and technical aspects of SD Generation (SDG) by developingnew techniques and advancing established ones for different data modalities, including genomics and imaging, to...

VICT3R aims to significantly reduce the number of animals used in experimental studies performed during the nonclinical drug andchemical safety evaluation by replacing the animals of the concurrent controls groups (CCGs) with Virtual Control Groups (VCGs). These VCGs will be generated by means of state-of-the-art statistical or artificial intelligence (AI) approaches that...