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Extraction and Transfer of Knowledge in Reinforcement Learning – ExTra-Learn
In the near future, intelligent and autonomous systems will become more ubiquitous and pervasive in applications such as autonomous robotics, design of intelligent personal assistants, and management of energy smart grids. Although very diverse, these applications call for the development of deci
Facial Analysis and Regulation - Support for Ethics and Explainability – FAR-SEE
The FAR-SEE project aims to study the issues of sampling bias, fairness, uncertainty and explicability of these features for Artificial Intelligence (AI)-based face recognition systems, with the aim of improving existing algorithms, revealing 'optimal' performance/fairness/explicability trade-offs a
Fair access for all to a low-carbon electricity Grid unlocked by Artificial Intelligence – FairGrid-AI
Clean, small-scale distributed energy resources (DER) (e.g., solar panels, energy storage, electric vehicles, etc.), that use or produce low-carbon emissions electricity, are expected to play a paramount role in helping society on the path towards carbon neutrality. Recent research shows inequitable
Fairness Constraints and Guarantees for Trustworthy Machine Learning – FaCTor
Machine Learning is one of the main driving force in Artificial Intelligence. It is nowadays used for decision making in medical applications, speech recognition, autonomous vehicles to cite a few examples. While machine learning can be very beneficial, the models that directly impact individuals co
Fast inference with controlled uncertainty: application to astrophysical observations. – SHERLOCK
SHERLOCK is targeted as a balanced research and training project. Its originality lies in 3 main motivations: a promising research project in AI with interdisciplinary applications in astrophysics and chemistry, an ambitious training program connected to high-level research-oriented master programs,
Federated Microbiome AI for human health – FeMAI
The digital revolution, in particular big data and artificial intelligence (AI), offer new opportunities to transform healthcare. Big data analytics has the potential to combine molecular patient data with electronic health records to fulfil the promises of precision medicine. Systemic marker panels
Federated statistical learning for new generation meta-analysis of large-scale and secured biomedical data – FED-BIOMED
The initial objectives of the project consisted in developing a methodological and computational framework for the effective application of federated learning in the domain of healthcare, with a particular focus in medical imaging applications. From the methodological perspective (WP1), the propos
Fighting Bacteria with ultrafast LAser fabrication of sharp nanoSTructured surfaces – BLAST
Antibiotic resistance is one of the most serious public health concerns, with projections predicting over 10 million deaths in the next 20 years. Non-pharmacological methods are essential to reduce the risk of bacterial colonization on surfaces associated with medical procedures. The BLAST project i
First zootechnical innovations in Southwest Asian societies (5th-1rst Millennia B.C.): origin and development of sheep breeds – EVOSHEEP
Sheep have played a major role in the development of Eastern societies since their domestication, in geographic regions characterised by great geo-climatic diversity. Today, sheep are found on every continent in the form of distinct breeds with specific characteristics. The EvoSheep project aims to
Flaubert and the power of images – FLIM (FLaubert IMages)
he project “Gustave Flaubert and the power of images” is in alignment with a previous research project (“Fractal”: “Flaubert: Religions, Antiquity, Creation”) that addressed the implication of religions, mythography and Antiquity in the writing processes. The aim is to define both the visual paradi
