Artificial Intelligence for the Sciences

Información del proyecto

AI4theSciences

Identificador del acuerdo de subvención: 945304

DOI

10.3030/945304

Fecha de la firma de la CE 25 Abril 2020

Fecha de inicio 1 Octubre 2020

Fecha de finalización 30 Septiembre 2026

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total

€ 4 230 720,00

Aportación de la UE

€ 2 115 360,00

Coordinado por

UNIVERSITE PARIS SCIENCES ET LETTRES
France

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Publicaciones

Thesis and dissertations (14)

Hemodynamic Modelling and Simulation of Flow Diverters for Intracranial Aneurysm Treatment

Autores: Pablo Jeken Rico
Publicado en: 2024
Editor: CEMEF - Centre de Mise en Forme des Matériaux ( 1158 )

Towards neuromorphic computing on quantum many-body architectures : VO2 transition dynamics

Autores: Alzate Banguero, Melissa
Publicado en: 2024
Editor: LPEM - Laboratoire de Physique et d'Etude des Matériaux (UMR 8213) ( 541959 )

Machine Learning for Origin of Life in the RNA world

Autores: CALVANESE Francesco
Publicado en: 2024
Editor: ESPCI-PSL

Impact of Deep Generative Models for solving non-linear Inverse Problems : application to Seismic Imaging

Autores: Yuke Xie
Publicado en: 2025
Editor: GEOSCIENCES - Centre de Géosciences ( 43221 )

Quantitative Self-Selection for the Inference of Biophysical Models

Autores: VAN TONGEREN Mats
Publicado en: 2025
Editor: CHIMIE PARIS-PSL

Learning dynamics in biological and artificial neural networks

Autores: ORHAN Pierre
Publicado en: 2025
Editor: ENS-PSL

Language representations in deep learning algorithms and the brain

Autores: Charlotte Caucheteux
Publicado en: 2023
Editor: MIND - Modèles et inférence pour les données de Neuroimagerie ( 1124248 )

An Artificial Intelligence approach to studying dolphin communication

Autores: SEMEZIN Chiara
Publicado en: 2025
Editor: ENS-PSL

Language acquisition in brains and deep learning algorithms

Autores: EVANSON Linnea
Publicado en: 2024
Editor: ENS-PSL

Market behaviour from traders’ cognitive traits:A multi-agent human reinforcement learning approach

Autores: VRIZZI Stefano
Publicado en: 2024
Editor: ENS-PSL

Advanced Methods for Enhancing the Interpretability of AI tools in the Energy Sector

Autores: Konstantinos Parginos
Publicado en: 2025
Editor: PERSEE - Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques ( 214579 )

Designing novel machine learning techniques to address the volume and complexity of the Rubin LSST data : separation of blended galaxies and transients classification in alert streams

Autores: Biswajit Biswas
Publicado en: 2024
Editor: APC (UMR_7164) - AstroParticule et Cosmologie ( 1004962 )

Machine Learning for marine biodiversity monitoring through eDNA Metabarcoding

Autores: LAMPERTI Letizia
Publicado en: 2024
Editor: EPHE-PSL

AI-based Methods for Inverse Problems in Biological Cell Systems

Autores: PASQUI Alessandro
Publicado en: 2025
Editor: MINES PARIS-PSL

Peer reviewed articles (14)

MADNESS deblender. Maximum A posteriori with Deep NEural networks for Source Separation

Autores: B. Biswas, E. Aubourg, A. Boucaud, A. Guinot, J. Lao, C. Roucelle, null null
Publicado en: Astronomy & Astrophysics, 2025, ISSN 0004-6361
Editor: Springer Verlag
DOI: 10.1051/0004-6361/202451887

Describing vocalizations in young children: A big data approach through citizen science annotation.

Autores: Semenzin, C., Hamrick, L, Seidl, A., Kelleher, B.L., Cristia, A. (2021)
Publicado en: Journal of Speech, Language, and Hearing Research., 2021, ISSN 1092-4388
Editor: American Speech-Language-Hearing Association
DOI: 10.1044/2021_jslhr-20-00661

Towards parsimonious generative modeling of RNA families

Autores: Francesco Calvanese, Camille N Lambert, Philippe Nghe, Francesco Zamponi, Martin Weigt
Publicado en: Nucleic Acids Research, Edición 52, 2024, Página(s) 5465-5477, ISSN 0305-1048
Editor: Oxford University Press
DOI: 10.1093/nar/gkae289

Mesoscale effects of trader learning behaviors in financial markets: A multi-agent reinforcement learning study

Autores: Johann Lussange, Stefano Vrizzi, Stefano Palminteri, Boris Gutkin
Publicado en: PLOS ONE, Edición 19, 2024, Página(s) e0301141, ISSN 1932-6203
Editor: Public Library of Science
DOI: 10.1371/journal.pone.0301141

Enabling the discovery of fast transients

Autores: B. Biswas, E. E. O. Ishida, J. Peloton, A. Möller, M. V. Pruzhinskaya, R. S. de Souza, D. Muthukrishna
Publicado en: Astronomy & Astrophysics, Edición 677, 2023, Página(s) A77, ISSN 0004-6361
Editor: Springer Verlag
DOI: 10.1051/0004-6361/202245340

Scarcity events analysis in adequacy studies using CN2 rule mining.

Autores: Fabian Heymann Ricardo Bessa Mario Liebensteiner Konstantinos Parginos Juan Carlos Martin Hinojar Pablo Duenas
Publicado en: Energy and AI, 2022, ISSN 2666-5468
Editor: Elsevier Ltd
DOI: 10.1016/j.egyai.2022.100154

Optical Mapping and On-Demand Selection of Local Hysteresis Properties in VO2

Autores: Melissa Alzate Banguero, Sayan Basak, Nicolas Raymond, Forrest Simmons, Pavel Salev, Ivan K. Schuller, Lionel Aigouy, Erica W. Carlson, Alexandre Zimmers
Publicado en: Condensed Matter, Edición 10, 2025, Página(s) 12, ISSN 2410-3896
Editor: MDPI AG
DOI: 10.3390/condmat10010012

Spatially Distributed Ramp Reversal Memory in VO₂

Autores: Sayan Basak, Yuxin Sun, Melissa Alzate Banguero, Pavel Salev, Ivan K. Schuller, Lionel Aigouy, Erica W. Carlson, Alexandre Zimmers
Publicado en: Advanced Electronic Materials, Edición 9, 2025, ISSN 2199-160X
Editor: Wiley
DOI: 10.1002/aelm.202300085

Deep learning Hamiltonians from disordered image data in quantum materials

Autores: S. Basak, M. Alzate Banguero, L. Burzawa, F. Simmons, P. Salev, L. Aigouy, M. M. Qazilbash, I. K. Schuller, D. N. Basov, A. Zimmers, E. W. Carlson
Publicado en: Physical Review B, Edición 107, 2023, ISSN 2469-9950
Editor: American Physical Society (APS)
DOI: 10.1103/physrevb.107.205121

Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning Model.

Autores: Johann Lussange, Stefano Vrizzi, Sacha Bourgeois-Gironde, Stefano Palminteri & Boris Gutkin 
Publicado en: Comput Econ, 2022, ISSN 0927-7099
Editor: Kluwer Academic Publishers
DOI: 10.1007/s10614-022-10249-3

Tuning the Resistance of a VO₂ Junction by Focused Laser Beam and Atomic Force Microscopy

Autores: Zhuoqun Fang, Melissa Alzate‐Banguero, Amit R. Rajapurohita, Forrest Simmons, Erica W. Carlson, Zhuoying Chen, Lionel Aigouy, Alexandre Zimmers
Publicado en: Advanced Electronic Materials, Edición 11, 2025, ISSN 2199-160X
Editor: Wiley
DOI: 10.1002/aelm.202400249

Behavioral, computational and self-reported measures of reward and punishment sensitivity as predictors of mental health characteristics

Autores: Stefano Vrizzi, Anis Najar, Cédric Lemogne, Stefano Palminteri, Mael Lebreton
Publicado en: Nature Mental Health, Edición 3, 2025, Página(s) 654-666, ISSN 2731-6076
Editor: Springer Science and Business Media LLC
DOI: 10.1038/s44220-025-00427-1

Evaluating the Impact of Domain Boundaries on Hemodynamics in Intracranial Aneurysms within the Circle of Willis

Autores: Pablo Jeken-Rico, Aurèle Goetz, Philippe Meliga, Aurélien Larcher, Yigit Özpeynirci, Elie Hachem
Publicado en: Fluids, Edición 9, 2025, Página(s) 1, ISSN 2311-5521
Editor: MDPI AG
DOI: 10.3390/fluids9010001

Citizen Science and Artificial Intelligence in Horizon 2020 and Horizon Europe Projects: Communication and Scientific Impact

Autores: null Concepción Campillo-Alhama, null Alba Santa-Soriano, null Rosa M. Torres-Valdés
Publicado en: Profesional de la información, Edición 33, 2024, ISSN 1386-6710
Editor: Swets & Zeitlinger
DOI: 10.3145/epi.2024.0417

Conference proceedings (7)

Towards increased interpretability of AI-tools in the energy sector with focus on the wind energy trading application

Autores: Konstantinos Parginos , Simon Camal , George Kariniotakis , Ricardo J. Bessa
Publicado en: 2022
Editor: WindEurope Technology Workshop 2022

Interpretable data-driven solar power plant trading strategies

Autores: Konstantinos Parginos, Ricardo J. Bessa, Simon Camal, Georges Kariniotakis
Publicado en: 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2022
Editor: https://ieee-isgt-europe.org/
DOI: 10.1109/isgt-europe54678.2022.9960432

Interpretable data-driven solar power plant trading strategies

Autores: Konstantinos Parginos , Ricardo J. Bessa , Simon Camal , Georges Kariniotakis
Publicado en: 2022
Editor: IEEE PES ISGT EUROPE 2022, Innovative Smart Grid Technologies Conference
DOI: 10.1109/isgt-europe54678.2022.9960432

Optimizing wind energy trading decisions using interpretable AI-based tools: The symbolic regression approach

Autores: Konstantinos Parginos , Simon Camal , Ricardo Bessa , Georges Kariniotakis
Publicado en: 2023
Editor: WindEurope Annual Event 2023

Regulating Artificial Intelligence in the EU, United States and China - Implications for energy systems

Autores: Fabian Heymann, Konstantinos Parginos, Ali Hariri, Gabriele Franco
Publicado en: 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2024, Página(s) 1-6
Editor: IEEE
DOI: 10.1109/isgteurope56780.2023.10407482

Language acquisition: do children and language models follow similar learning stages?

Autores: Linnea Evanson, Yair Lakretz, Jean Rémi King
Publicado en: Findings of the Association for Computational Linguistics: ACL 2023, 2023, Página(s) 12205-12218
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2023.findings-acl.773

A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision Transformers

Autores: Matteo Bastico, David Ryckelynck, Laurent Corté, Yannick Tillier, Etienne Decencière
Publicado en: 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2024, Página(s) 4130-4140
Editor: IEEE
DOI: 10.1109/iccvw60793.2023.00446

Other (5)

Signature of random connectivity in the distribution of neuronal tuning curves

Autores: Pierre Orhan, Adrian Duszkiewicz, Adrien Peyrache
Publicado en: BioRxiv, 2022
Editor: BioRxiv.org
DOI: 10.1101/2022.08.30.505888

Toward a realistic model of speech processing in the brain with self-supervised learning

Autores: Juliette Millet, Charlotte Caucheteux, Pierre Orhan, Yves Boubenec, Alexandre Gramfort, Ewan Dunbar, Christophe Pallier, Jean-Remi King
Publicado en: Arxiv, 2022
Editor: arxiv.org
DOI: 10.48550/arxiv.2206.01685

Reciprocal feature encoding by cortical excitatory and inhibitory neurons

Autores: Adrian J. Duszkiewicz, Sofia Skromne Carrasco, Pierre Orhan, Eleanor H. Brown, Eliott Owczarek, Gilberto R. Vite, Emma R. Wood, Adrien Peyrache
Publicado en: Biorxiv, 2022, ISSN 2692-8205
Editor: https://www.biorxiv.org/
DOI: 10.1101/2022.03.14.484357

Don't stop the training: continuously-updating self-supervised algorithms best account for auditory responses in the cortex

Autores: Pierre Orhan, Yves Boubenec, Jean-Rémi King
Publicado en: Arxiv, 2022
Editor: Arxiv.org
DOI: 10.48550/arxiv.2202.07290

Correlative mapping of local hysteresis properties in VO$_2$

Autores: Banguero, Melissa Alzate; Basak, Sayan; Raymond, Nicolas; Simmons, Forrest; Salev, Pavel; Schuller, Ivan K.; Aigouy, Lionel; Carlson, Erica W.; Zimmers, Alexandre
Publicado en: 2023
Editor: Condensed Matter > Strongly Correlated Electrons