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.

This programme aims to select up to 10 innovative projects addressing industrial challenges defined by the dAIEDGE consortium, o

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.

Since the start of the year, CIBERIA has been updating its website to reflect new features and address needs identified among both service providers and consumers.

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 behalf of the Certify Project, the AIR Institute is pleased to invite you to participate in SECON, which will be held as part of the 9th International Conference on Mobile Internet Security from 16 to 18 December.

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).

‘El Jap! Informa’ keeps users up to date with the latest news from both sectors, including events and training opportunities.

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.