Blog

The so-called biological data revolution is reshaping the rules of research. Thanks to artificial intelligence and large-scale data analysis, it is now possible to decode complex patterns in DNA, predict immune responses, and even detect relevant mutations before they manifest clinically.

One of today’s greatest challenges is to boost the use of clean, renewable energy, and technology is playing a key role in achieving this. Projects such as AQUILON, an initiative developed by AIR Institute together with SOLUTE, are a clear example.

Machine learning algorithms and AI are being used to analyse large volumes of data, medical images, and patient records, helping to enable early diagnosis and the prediction of diseases.

On 30th July, the “AOE6 Workshop: Evaluation of the Dashboard Prototype” took place. Our colleagues Margarita Cea López and Clara Rodríguez Marcos presented the preliminary version of the dashboard, developed as part of the European project Gender Innovation Living Labs (GILL).

Federated Learning is a Machine Learning and Deep Learning approach that enables collaborative model training using data that remains distributed across various devices or servers.