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Creating Algorithms for Compact Decomposable Circuits – CERADOC
As artificial intelligence (AI) systems become increasingly integrated into sensitive domains, the need for transparency, reliability, and explainability becomes paramount. This project aims to enhance trust in AI by leveraging knowledge compilation techniques, particularly through the optimization
Creative Dynamics of Improvised Interaction – DYCI2
The "Dynamics of Creative Improvised Interaction" project involves the creation, adaptation and implementation of effective and efficient models of artificial listening, machine learning, interaction and on-line creation of musical content, to enable the establishment of digital musical agents. Thes
Creative Writing and Dynamic Analysis of Writers' Manuscripts – CreaLAME
Cré@lame proposes a study of creative writing from the point of view of genetic operations and writing processes, their psycholinguistic dimension and the ergonomics of creativity. The hypothesis is that these operations can be modelled and analysed in the practice of a heritage writer, whose writin
DIgital investigation of Phonetic VARiation: large-scale multilingual modeling of lenition and fortition – DIPVAR
The digital revolution, now at the heart of the humanities, has opened up new avenues for the linguistic research. Thanks to digital methods, large collections of data covering natural communication situations and many languages are finally available for study. Our proposal is in line with this dire
DOLL: Efficient DOwnLink Communication for Increased LoRaWAN Capacity – DOLL
One of the most representative technologies for long-range networks, LoRaWAN, has gained global momentum. Telecommunication operators like Bouygues Telecom, Orange, and KPN have deployed several thousand LoRaWAN gateways each to accelerate innovation in areas such as smart cities, environmental moni
Damage-Tolerant Micro-Trusses inspired from Crystal Plasticity analogues – MIRACLES
The objective of this pathfinder and interdisciplinary MIRACLES project is to draw on the knowledge inferred from bi-crystalline plasticity in face-centered cubic metals (bi-crystallography, slip/grain boundary interactions) in order to guide by geometrical analogues the manufacturing of new tailore
Data Science, Artificial Intelligence and Society
L’Institut DATAIA Paris-Saclay est l’institut d'intelligence artificielle de l'Université Paris-Saclay. Lauréat de l’appel à projets « Instituts Convergences » lancé par l’Agence Nationale de la Recherche (ANR) en 2017 et premier écosystème français en intelligence artificielle, DATAIA fédère
Data and Prior, Machine Learning and Control – DeLiCio
We combine machine learning (ML) and control theory (CT) and address problems in control from two perspectives: - What can be modelled (CT) and what needs to be learned (CT)? - Can we provide, estimate or guarantee stability (CT)? - Can we estimate the complexity of the learning task and or the a
Data lift: from published raw data to interlinked semantic data. – Datalift
DataLift's ambition is to act as a catalyst for the emergence of the Web of data. The web of data is a recently emerged way to publish data on the Web. It is made of large raw data sources interlinked together. It takes advantage of semantic Web technologies in order to ensure interoperability and i
