Auswahl der wissenschaftlichen Literatur zum Thema „Modèle génératifs“
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Zeitschriftenartikel zum Thema "Modèle génératifs"
Denoyer, Ludovic, und Patrick Gallinari. „Un modèle de mixture de modèles génératifs pour les documents structurés multimédias. Application à la classification de documents XML et HTML“. Document numérique 8, Nr. 3 (01.09.2004): 35–54. http://dx.doi.org/10.3166/dn.8.3.35-54.
Der volle Inhalt der QuelleFleury, Charles. „La génération X au Québec : une génération sacrifiée ?“ Recherche 49, Nr. 3 (05.02.2009): 475–99. http://dx.doi.org/10.7202/019877ar.
Der volle Inhalt der QuelleMahieu, Ronan, und Carole Bonnet. „Taux de rendement interne par génération des régimes obligatoires de retraite. Calcul à l'aide d'un modèle de microsimulation dynamique“. Revue économique 51, Nr. 1 (01.01.2000): 77–95. http://dx.doi.org/10.3917/reco.p2000.51n1.0077.
Der volle Inhalt der QuelleBillot, Antoine, und Frédéric Gavrel. „Dispersion des prix et experiences Une étude de l'équilibre d'un marché à générations de clients en information imparfaite“. Recherches économiques de Louvain 59, Nr. 3 (1993): 379–88. http://dx.doi.org/10.1017/s0770451800008472.
Der volle Inhalt der QuelleElbaz, Mikhaël. „Ethnicité et générations en Amérique du Nord. Le cas de la seconde génération de Juifs sépharades à Montréal“. I. Vivre ailleurs, Nr. 31 (22.10.2015): 63–77. http://dx.doi.org/10.7202/1033779ar.
Der volle Inhalt der QuellePennec, Sophie, und Joëlle Gaymu. „La durée de l’isolement conjugal et de la vie en couple chez les personnes âgées en France : quelles évolutions entre hommes et femmes au fil des générations ?“ Articles 40, Nr. 2 (30.07.2012): 175–208. http://dx.doi.org/10.7202/1011539ar.
Der volle Inhalt der QuelleDE ROCHAMBEAU, H. „Les bases de la génétique quantitative : Le progrès génétique et sa réalisation dans les expériences de sélection“. INRAE Productions Animales 5, HS (02.12.1992): 83–86. http://dx.doi.org/10.20870/productions-animales.1992.5.hs.4267.
Der volle Inhalt der QuelleCaselli, Graziella, Jacques Vallin und John Wilmoth. „Quand certaines générations ont une mortalité différente de celle que l'on pourrait attendre“. Population Vol. 44, Nr. 2 (01.02.1989): 335–76. http://dx.doi.org/10.3917/popu.p1989.44n2.0376.
Der volle Inhalt der QuelleBoisson, Claude. „La forme logique et les processus de déverbalisation et de reverbalisation en traduction“. Meta 50, Nr. 2 (20.07.2005): 488–94. http://dx.doi.org/10.7202/010995ar.
Der volle Inhalt der QuellePrioux, France. „La fécondité par rang de naissance dans les générations : évolution comparée en Angleterre-Galles et aux Pays-Bas, depuis la génération 1930“. Population Vol. 43, Nr. 4 (01.04.1988): 855–76. http://dx.doi.org/10.3917/popu.p1988.43n4-5.0876.
Der volle Inhalt der QuelleDissertationen zum Thema "Modèle génératifs"
Azeraf, Elie. „Classification avec des modèles probabilistes génératifs et des réseaux de neurones. Applications au traitement des langues naturelles“. Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. https://theses.hal.science/tel-03880848.
Der volle Inhalt der QuelleMany probabilistic models have been neglected for classification tasks with supervised learning for several years, as the Naive Bayes or the Hidden Markov Chain. These models, called generative, are criticized because the induced classifier must learn the observations' law. This problem is too complex when the number of observations' features is too large. It is especially the case with Natural Language Processing tasks, as the recent embedding algorithms convert words in large numerical vectors to achieve better scores.This thesis shows that every generative model can define its induced classifier without using the observations' law. This proposition questions the usual categorization of the probabilistic models and classifiers and allows many new applications. Therefore, Hidden Markov Chain can be efficiently applied to Chunking and Naive Bayes to sentiment analysis.We go further, as this proposition allows to define the classifier induced from a generative model with neural network functions. We "neuralize" the models mentioned above and many of their extensions. Models so obtained allow to achieve relevant scores for many Natural Language Processing tasks while being interpretable, able to require little training data, and easy to serve
Hadjeres, Gaëtan. „Modèles génératifs profonds pour la génération interactive de musique symbolique“. Thesis, Sorbonne université, 2018. http://www.theses.fr/2018SORUS027/document.
Der volle Inhalt der QuelleThis thesis discusses the use of deep generative models for symbolic music generation. We will be focused on devising interactive generative models which are able to create new creative processes through a fruitful dialogue between a human composer and a computer. Recent advances in artificial intelligence led to the development of powerful generative models able to generate musical content without the need of human intervention. I believe that this practice cannot be thriving in the future since the human experience and human appreciation are at the crux of the artistic production. However, the need of both flexible and expressive tools which could enhance content creators' creativity is patent; the development and the potential of such novel A.I.-augmented computer music tools are promising. In this manuscript, I propose novel architectures that are able to put artists back in the loop. The proposed models share the common characteristic that they are devised so that a user can control the generated musical contents in a creative way. In order to create a user-friendly interaction with these interactive deep generative models, user interfaces were developed. I believe that new compositional paradigms will emerge from the possibilities offered by these enhanced controls. This thesis ends on the presentation of genuine musical projects like concerts featuring these new creative tools
Hadjeres, Gaëtan. „Modèles génératifs profonds pour la génération interactive de musique symbolique“. Electronic Thesis or Diss., Sorbonne université, 2018. http://www.theses.fr/2018SORUS027.
Der volle Inhalt der QuelleThis thesis discusses the use of deep generative models for symbolic music generation. We will be focused on devising interactive generative models which are able to create new creative processes through a fruitful dialogue between a human composer and a computer. Recent advances in artificial intelligence led to the development of powerful generative models able to generate musical content without the need of human intervention. I believe that this practice cannot be thriving in the future since the human experience and human appreciation are at the crux of the artistic production. However, the need of both flexible and expressive tools which could enhance content creators' creativity is patent; the development and the potential of such novel A.I.-augmented computer music tools are promising. In this manuscript, I propose novel architectures that are able to put artists back in the loop. The proposed models share the common characteristic that they are devised so that a user can control the generated musical contents in a creative way. In order to create a user-friendly interaction with these interactive deep generative models, user interfaces were developed. I believe that new compositional paradigms will emerge from the possibilities offered by these enhanced controls. This thesis ends on the presentation of genuine musical projects like concerts featuring these new creative tools
Vandewalle, Vincent. „Estimation et sélection en classification semi-supervisée“. Phd thesis, Université des Sciences et Technologie de Lille - Lille I, 2009. http://tel.archives-ouvertes.fr/tel-00447141.
Der volle Inhalt der QuelleCaillon, Antoine. „Hierarchical temporal learning for multi-instrument and orchestral audio synthesis“. Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS115.
Der volle Inhalt der QuelleRecent advances in deep learning have offered new ways to build models addressing a wide variety of tasks through the optimization of a set of parameters based on minimizing a cost function. Amongst these techniques, probabilistic generative models have yielded impressive advances in text, image and sound generation. However, musical audio signal generation remains a challenging problem. This comes from the complexity of audio signals themselves, since a single second of raw audio spans tens of thousands of individual samples. Modeling musical signals is even more challenging as important information are structured across different time scales, from micro (e.g. timbre, transient, phase) to macro (e.g. genre, tempo, structure) information. Modeling every scale at once would require large architectures, precluding the use of resulting models in real time setups for computational complexity reasons.In this thesis, we study how a hierarchical approach to audio modeling can address the musical signal modeling task, while offering different levels of control to the user. Our main hypothesis is that extracting different representation levels of an audio signal allows to abstract the complexity of lower levels for each modeling stage. This would eventually allow the use of lightweight architectures, each modeling a single audio scale. We start by addressing raw audio modeling by proposing an audio model combining Variational Auto Encoders and Generative Adversarial Networks, yielding high-quality 48kHz neural audio synthesis, while being 20 times faster than real time on CPU. Then, we study how autoregressive models can be used to understand the temporal behavior of the representation yielded by this low-level audio model, using optional additional conditioning signals such as acoustic descriptors or tempo. Finally, we propose a method for using all the proposed models directly on audio streams, allowing their use in realtime applications that we developed during this thesis. We conclude by presenting various creative collaborations led in parallel of this work with several composers and musicians, directly integrating the current state of the proposed technologies inside musical pieces
Pagliarini, Silvia. „Modeling the neural network responsible for song learning“. Thesis, Bordeaux, 2021. http://www.theses.fr/2021BORD0107.
Der volle Inhalt der QuelleDuring the first period of their life, babies and juvenile birds show comparable phases of vocal development: first, they listen to their parents/tutors in order to build a neural representation of the experienced auditory stimulus, then they start to produce sound and progressively get closer to reproducing their tutor song. This phase of learning is called the sensorimotor phase and is characterized by the presence of babbling, in babies, and subsong, in birds. It ends when the song crystallizes and becomes similar to the one produced by the adults.It is possible to find analogies between brain pathways responsible for sensorimotor learning in humans and birds: a vocal production pathway involves direct projections from auditory areas to motor neurons, and a vocal learning pathway is responsible for imitation and plasticity. The behavioral studies and the neuroanatomical structure of the vocal control circuit in humans and birds provide the basis for bio-inspired models of vocal learning.In particular, birds have brain circuits exclusively dedicated to song learning, making them an ideal model for exploring the representation of vocal learning by imitation of tutors.This thesis aims to build a vocal learning model underlying song learning in birds. An extensive review of the existing literature is discussed in the thesis: many previous studies have attempted to implement imitative learning in computational models and share a common structure. These learning architectures include the learning mechanisms and, eventually, exploration and evaluation strategies. A motor control function enables sound production and sensory response models either how sound is perceived or how it shapes the reward. The inputs and outputs of these functions lie (1)~in the motor space (motor parameters’ space), (2)~in the sensory space (real sounds) and (3)~either in the perceptual space (a low dimensional representation of the sound) or in the internal representation of goals (a non-perceptual representation of the target sound).The first model proposed in this thesis is a theoretical inverse model based on a simplified vocal learning model where the sensory space coincides with the motor space (i.e., there is no sound production). Such a simplification allows us to investigate how to introduce biological assumptions (e.g. non-linearity response) into a vocal learning model and which parameters influence the computational power of the model the most. The influence of the sharpness of auditory selectivity and the motor dimension are discussed.To have a complete model (which is able to perceive and produce sound), we needed a motor control function capable of reproducing sounds similar to real data (e.g. recordings of adult canaries). We analyzed the capability of WaveGAN (a Generative Adversarial Network) to provide a generator model able to produce realistic canary songs. In this generator model, the input space becomes the latent space after training and allows the representation of a high-dimensional dataset in a lower-dimensional manifold. We obtained realistic canary sounds using only three dimensions for the latent space. Among other results, quantitative and qualitative analyses demonstrate the interpolation abilities of the model, which suggests that the generator model we studied can be used as a motor function in a vocal learning model.The second version of the sensorimotor model is a complete vocal learning model with a full action-perception loop (i.e., it includes motor space, sensory space, and perceptual space). The sound production is performed by the GAN generator previously obtained. A recurrent neural network classifying syllables serves as the perceptual sensory response. Similar to the first model, the mapping between the perceptual space and the motor space is learned via an inverse model. Preliminary results show the influence of the learning rate when different sensory response functions are implemented
Kenmei, Youta Bénédicte Ramelie. „Génération de programmes modèles pour la représentation et l'analyse de profils d'exécution : Le modèle périodique-linéaire“. Université Louis Pasteur (Strasbourg) (1971-2008), 2006. https://publication-theses.unistra.fr/public/theses_doctorat/2006/KENMEI_YOUTA_Benedicte_Ramelie_2006.pdf.
Der volle Inhalt der QuelleThis work presents a novel approach for program execution traces analysis and modeling. After a short introduction where it is shown that general methods for data analysis are not well-adapted to understand the behavior of programs, we focus on the design of our model, called the Periodic Linear Model. It is based on the representation of a program behavior by another program. The program that models the behavior of the first one is made of sequences of nested loops, in which the functions of the innermost level compute the values of the input program trace from the loop indices. Each sequence of nested loops correspond to a particular definition of a program phase, that is a set of linearly linked intervals; these intervals are identifed through our periodic linear interpolation method. From this representation, we show that many analysis ans optimizations are possible in conjunction with some static analysis methods like the polytope model, and also that the information resulting from our model are more precise, adapted and exploitable than those obtained by general data analysis methods
Lucas, Thomas. „Modèles génératifs profonds : sur-généralisation et abandon de mode“. Thesis, Université Grenoble Alpes, 2020. http://www.theses.fr/2020GRALM049.
Der volle Inhalt der QuelleThis dissertation explores the topic of generative modelling of natural images,which is the task of fitting a data generating distribution.Such models can be used to generate artificial data resembling the true data, or to compress images.Latent variable models, which are at the core of our contributions, seek to capture the main factors of variations of an image into a variable that can be manipulated.In particular we build on two successful latent variable generative models, the generative adversarial network (GAN) and Variational autoencoder (VAE) models.Recently GANs significantly improved the quality of images generated by deep models, obtaining very compelling samples.Unfortunately these models struggle to capture all the modes of the original distribution, ie they do not cover the full variability of the dataset.Conversely, likelihood based models such as VAEs typically cover the full variety of the data well and provide an objective measure of coverage.However these models produce samples of inferior visual quality that are more easily distinguished from real ones.The work presented in this thesis strives for the best of both worlds: to obtain compelling samples while modelling the full support of the distribution.To achieve that, we focus on i) the optimisation problems used and ii) practical model limitations that hinder performance.The first contribution of this manuscript is a deep generative model that encodes global image structure into latent variables, built on the VAE, and autoregressively models low level detail.We propose a training procedure relying on an auxiliary loss function to control what information is captured by the latent variables and what information is left to an autoregressive decoder.Unlike previous approaches to such hybrid models, ours does not need to restrict the capacity of the autoregressive decoder to prevent degenerate models that ignore the latent variables.The second contribution builds on the standard GAN model, which trains a discriminator network to provide feedback to a generative network.The discriminator usually assesses the quality of individual samples, which makes it hard to evaluate the variability of the data.Instead we propose to feed the discriminator with emph{batches} that mix both true and fake samples, and train it to predict the ratio of true samples in the batch.These batches work as approximations of the distribution of generated images and allows the discriminator to approximate distributional statistics.We introduce an architecture that is well suited to solve this problem efficiently,and show experimentally that our approach reduces mode collapse in GANs on two synthetic datasets, and obtains good results on the CIFAR10 and CelebA datasets.The mutual shortcomings of VAEs and GANs can in principle be addressed by training hybrid models that use both types of objective.In our third contribution, we show that usual parametric assumptions made in VAEs induce a conflict between them, leading to lackluster performance of hybrid models.We propose a solution based on deep invertible transformations, that trains a feature space in which usual assumptions can be made without harm.Our approach provides likelihood computations in image space while being able to take advantage of adversarial training.It obtains GAN-like samples that are competitive with fully adversarial models while improving likelihood scores over existing hybrid models at the time of publication, which is a significant advancement
Loyauté, Gautier. „Un modèle génératif pour le développement de serveurs Internet“. Phd thesis, Université Paris-Est, 2008. http://tel.archives-ouvertes.fr/tel-00470539.
Der volle Inhalt der QuelleMaugé, Rudy. „Modèles de génération des marées internes“. Brest, 2006. http://www.theses.fr/2006BRES2040.
Der volle Inhalt der QuelleThis thesis studies the generation of internal tides and their propagation toward the deep ocean. We emphasize the major rote of interactions between the modes, and more particularly their influence on the nonlinear and nonhydrostatic internal-tide evolution and its subsequent disintegration in solitons. The sequence of internal tide generation models derived here, gradually leads to a more realistic representation of stratification and topography. A weakly nonlinear and nonhydrostatic internal tide model with three homogeneous layers is developed to study the influence of a double thermocline (e. G. Both a seasonal and a permanent one) on the generation of solitons. The results show the crucial rote of the second, deeper interface as it accelerates and intensifies the formation of solitons. For a continuous representation of stratification, a linear and hydrostaic model for the generation and propagation of internal tide is presented. It's derived using a modal approach, in which the topography is assumed to be slowly varying with respect to the horizontal internal-tide length scale. For parameters representative of the Gay of Biscay, the model shows how the internal-tide energy propagates toward the deep ocean, affecting the whole water column. This model offers the benefit of allowing a straightforward extension to a weakly nonlinear and nonhydrostatic internal-tide generation model, and is shown to be able to describe the local generation of solitons in the central Gay of Biscay, in accordance with observations
Bücher zum Thema "Modèle génératifs"
Grah, Serge. Madeleine Tchicaya en questions: Une femme de valeur, un modèle pour toutes les générations : entretiens. Abidjan, Côte d'Ivoire: Vallesse Éditions, 2017.
Den vollen Inhalt der Quelle findenLaenzlinger, Christopher. Initiation `a la syntaxe formelle du fran: Le modèle principes et paramètres de la grammaire générative transformationnelle. Berne: P. Lang, 2003.
Den vollen Inhalt der Quelle findenCorak, Miles. Mobilité intergénérationnelle des gains et du revenu des hommes au Canada: Étude basée sur les données longitudinales de l'impôt sur le revenu. Ottawa, Ont: Direction des études analytiques, Statistique Canada, 1998.
Den vollen Inhalt der Quelle findenAydemir, Abdurrahman. Mobilité intergénérationnelle des gains chez les enfants des immigrants au Canada. Ottawa, Ont: Statistique Canada, 2005.
Den vollen Inhalt der Quelle findenProtéger les élections démocratiques par la sauvegarde de l’intégrité de l’information. International IDEA; Forum sur l’information et la démocratie; Democracy Reporting International, 2024. http://dx.doi.org/10.31752/idea.2024.9.
Der volle Inhalt der QuelleKonrad, Karsten. Model Generation for Natural Language Interpretation and Analysis. Springer London, Limited, 2004.
Den vollen Inhalt der Quelle findenModel Generation for Natural Language Interpretation and Analysis. Springer, 2004.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Modèle génératifs"
SIMANI, Silvio. „Modélisation mathématique et caractérisation des défauts“. In Diagnostic et commande à tolérance de fautes 1, 29–85. ISTE Group, 2024. http://dx.doi.org/10.51926/iste.9058.ch1.
Der volle Inhalt der QuelleKARLIS, Dimitris, und Katerina ORFANOGIANNAKI. „Modèles de régression de Markov pour les séries chronologiques de comptage des séismes“. In Méthodes et modèles statistiques pour la sismogenèse, 165–80. ISTE Group, 2023. http://dx.doi.org/10.51926/iste.9037.ch6.
Der volle Inhalt der QuelleMARTIN, Patrick, Maroua NOUIRI und Ali SIADAT. „Transiter vers un modèle durable : sociétal, économique et environnemental“. In Digitalisation et contrôle des systèmes industriels cyber-physiques, 27–47. ISTE Group, 2023. http://dx.doi.org/10.51926/iste.9085.ch2.
Der volle Inhalt der Quelle„Outils de génération automatique des modèles“. In Conception de bases de données avec UML, 447–504. Presses de l'Université du Québec, 2007. http://dx.doi.org/10.2307/j.ctv18pgv5t.10.
Der volle Inhalt der Quelle„LE MODÈLE QUÉBÉCOIS DE DÉVELOPPEMENT, PREMIÈRE GÉNÉRATION :“. In L' innovation et l’économie sociale au cœur du modèle québécois, 193–226. Presses de l'Université du Québec, 2021. http://dx.doi.org/10.2307/j.ctv224v0qd.10.
Der volle Inhalt der Quelle„LE MODÈLE QUÉBÉCOIS DE DÉVELOPPEMENT, DEUXIÈME GÉNÉRATION :“. In L' innovation et l’économie sociale au cœur du modèle québécois, 227–86. Presses de l'Université du Québec, 2021. http://dx.doi.org/10.2307/j.ctv224v0qd.11.
Der volle Inhalt der QuelleVidal, Jean-Pierre. „L’altruisme dans le modèle à générations imbriquées“. In Altruisme, 85. Economica (programme ReLIRE), 1998. http://dx.doi.org/10.3917/econo.mahie.1998.01.0085.
Der volle Inhalt der QuelleGRASLIN, A., R. DUPONT, O. CHABERT, Ph ROUANET DE BERCHOUX und P. DERAIN. „Du concept à la réalisation“. In Médecine et Armées Vol. 45 No.2, 103–12. Editions des archives contemporaines, 2017. http://dx.doi.org/10.17184/eac.7421.
Der volle Inhalt der QuelleMasson, André. „Chapitre 4. Réciprocités indirectes : typologie et modèles économiques“. In Des liens et des transferts entre générations, 145–69. Éditions de l’École des hautes études en sciences sociales, 2009. http://dx.doi.org/10.4000/books.editionsehess.47751.
Der volle Inhalt der QuelleBourcier, Danièle, und Primavera de Filippi. „Vers un nouveau modèle de coopération entre l’administration et les communautés numériques“. In Génération Y et gestion publique : quels enjeux ?, 67–86. Institut de la gestion publique et du développement économique, 2012. http://dx.doi.org/10.4000/books.igpde.948.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Modèle génératifs"
Fourest, Bernard. „Pour une harmonisation des processus d’autorisation des modèles de réacteurs en Europe“. In Sûreté des réacteurs nucléaires de 3ème génération. Les Ulis, France: EDP Sciences, 2013. http://dx.doi.org/10.1051/jtsfen/2013sur08.
Der volle Inhalt der QuelleCervelli, Pierluigi. „Les transitions du croire : de la parabole vers un nouveau modèle sémiotique“. In Actes du congrès de l’Association Française de Sémiotique. Limoges: Université de Limoges, 2024. http://dx.doi.org/10.25965/as.8463.
Der volle Inhalt der QuelleBeyaert-Geslin, Anne. „Faire un point“. In Arts du faire : production et expertise. Limoges: Université de Limoges, 2009. http://dx.doi.org/10.25965/as.3232.
Der volle Inhalt der QuelleLefort, Claire, Mathieu Chalvidal, Alexis Parenté, Véronique BLANQUET, Henri Massias, Laetitia MAGNOL und Emilie Chouzenoux. „Imagerie 3D par microscopie multiphotonique appliquée aux sciences du vivant : la chaine instrumentale et computationnelle FAMOUS“. In Les journées de l'interdisciplinarité 2022. Limoges: Université de Limoges, 2022. http://dx.doi.org/10.25965/lji.221.
Der volle Inhalt der QuelleMusquer, N., N. Chapelle, M. Le Rhun, E. Metiver, Y. Touchefeu und E. Coron. „L'injection haute pression est-elle utile pour la dissection sous-muqueuse? Résultats d'une étude randomisée prospective comparant deux couteaux de «seconde génération» sur un modèle porcin vivant“. In Journées Francophones d'Hépato-Gastroentérologie et d'Oncologie Digestive (JFHOD). Georg Thieme Verlag KG, 2018. http://dx.doi.org/10.1055/s-0038-1623406.
Der volle Inhalt der QuelleRIBEIRO DOS SANTOS, Daniel, Anne JULIEN-VERGONJANNE und Johann BOUCLÉ. „Cellules Solaires pour les Télécommunications et la Récupération d’Énergie“. In Les journées de l'interdisciplinarité 2022. Limoges: Université de Limoges, 2022. http://dx.doi.org/10.25965/lji.661.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Modèle génératifs"
Poschke, Markus, und David Leung. Le Québec devrait-il augmenter les taxes à la consommation? CIRANO, 2021. http://dx.doi.org/10.54932/jgvm9888.
Der volle Inhalt der QuelleLeung, David, und Markus Poschke†. Quelques réformes progressives des taxes à la consommation. CIRANO, November 2022. http://dx.doi.org/10.54932/vwoi2297.
Der volle Inhalt der QuelleMarchildon, Allison, Claire Boine, Andréane Sabourin Laflamme, Dave Anctil, Antoine Boudreau LeBlanc, Sylvain Auclair, Christine Balagué et al. Un an après l’arrivée de ChatGPT: Réflexions de l’Obvia sur les enjeux et pistes d’action possibles face à l’IA générative. Observatoire international sur les impacts sociétaux de l’intelligence artificielle et du numérique, Januar 2024. http://dx.doi.org/10.61737/zkwz3721.
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