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Integrating Machine Consciousness Simulation and LLMs Toward Verbal and Non-Verbal General Intelligence in Artificial Agents
No full textRecent advances in artificial general intelligence (AGI) reveal an asymmetry: large language models (LLMs) demonstrate human-like linguistic reasoning, yet they may fall short in non-verbal reasoning and embodied cognition. To bridge this gap, we propose a computational framework unifying verbal and non-verbal intelligence through consciousness-inspired modeling. Leading theories of consciousness, such as Global Workspace Theory (GWT) and Integrated Information Theory (IIT), remain inadequate due to imprecise formalism and computational intractability. In contrast, the Projective Consciousness Model (PCM)-a tractable geometrical framework modeling spatial perspective, emotion, and attention-can be integrated with LLMs. The resulting PCM-LLM architecture fuses belief states in projective space with linguistic representations, enabling coherent verbal and non-verbal reasoning and belief updating. In a competitive social task requiring multimodal integration, PCM-LLM agents outperformed PCM-only agents, highlighting language's broader role in cognitive dynamics, beyond its expressive functions. Such integration of human-inspired consciousness models and LLMs may help guide the development of interpretable, human-like AGI
Game-Theoretic Interaction Control for Assistive Exoskeletons: a 2-DOF Simulation Study
No full textInternational audienceEnhancing interaction control remains a key challenge for robotic devices designed to assist human movement. Interaction control can be modeled as a dyadic differential game, where both the human and the robot aim to minimize their respective cost functions over a finite time horizon. The difficulty lies in continuously estimating the human cost parameters to design an optimal game-theoretic robot controller. This simulation study evaluates the effectiveness and robustness of a bi-level optimization method in accurately recovering human cost parameters during a trajectory tracking task with a virtual 2-DOF exoskeleton
Les représentations du corps dans les récits d’infirmières canadiennes de la Première Guerre mondiale
No full textInternational audienc
Speech Technologies with Fieldwork Recordings : the Case of Haitian Creole
No full textInternational audienc
Editorial: Emerging digital technologies as a game changer in the sport industry
No full textInternational audienc
Caractérisation des réseaux d’échanges du cuivre de l’âge du Bronze à l’échelle européenne
No full textInternational audienceL’Âge du Bronze est marqué par l’usage croissant du bronze, un alliage de cuivre et d’étain, dont la production dépendait de réseaux d’échanges entre régions géographiquement éloignées, les gisements de ces deux métaux étant rarement situés dans les mêmes zones.Pourtant, ces vastes réseaux d’approvisionnement demeurent encore aujourd’hui largement méconnus, notamment en raison du manque d’informations sur l’origine précise des métaux utilisés pour fabriquer les objets en bronze.Cette communication présentera, dans un premier temps, une liste exhaustive des zones minières de cuivre et d’étain exploitées durant l’Âge du Bronze. Cette synthèse a permis d’identifier les principales régions cuprifères à prendre en compte comme possibles provenances pour les artefacts en bronze. Les volumes de production des principales mines de cuivre ont pu être estimés, révélant des disparités importantes entre les régions, certaines apparaissant ainsi comme des candidates plus probables pour l’exportation de cuivre à grande échelle.L’origine du cuivre composant les objets a pu être tracée en utilisant les quatre isotopes stables du plomb (204, 206, 207 et 208). Présents en très faibles quantités dans le minerai de cuivre, leur proportion relative n’est pas modifiée par les processus de fonte, ce qui permet de lier un objet à son minerai d’origine avec un degré élevé de précision.Les signatures de plus de 8000 minerais et 7000 artefacts ont pu être comparées à l’aide de statistiques multivariées, et une origine quasi-certaine a pu être attribuée à environ un tiers des artefacts étudiés. De ces provenances fiables, des axes d’exportation du cuivre à l’échelle de l’Europe et du Proche-Orient ont pu être tracés.Enfin, pour des objets dont la provenance restait incertaine, l’emploi de modèles bayésiens suggère qu’ils pourraient avoir été fabriqués à partir de mélanges de cuivre extraits dans des zones minières distinctes. Cette découverte ouvre de nouvelles perspectives sur l’étendue des réseaux d’échanges à l’Âge du Bronze
« Alexandre Ribot - Georges Picot, deux républicains conservateurs engagés : l’homme politique et le notable militant »
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Circumventing glioblastoma resistance to temozolomide through optimal drug combinations designed by systems pharmacology and machine learning
No full textInternational audienceBackground and Purpose Glioblastoma (GBM), the most frequent and aggressive brain tumour in adults, is associated with a dismal prognostic despite intensive treatment involving surgery, radiotherapy and temozolomide (TMZ)‐based chemotherapy. The initial or acquired resistance of GBM to TMZ appeals for precision medicine approaches to the design of novel efficient combination pharmacotherapies. Such investigation needs to account for the overexpression of the O6‐methylguanine‐DNA methyl‐transferase (MGMT) repair enzyme which is responsible for TMZ resistance in patients. Experimental Approach A comprehensive approach combining quantitative systems pharmacology (QSP) models and machine learning (ML) was undertaken to design TMZ‐based drug combinations circumventing the initial resistance to the alkylating agent. Key Results A QSP model representing TMZ cellular pharmacokinetics‐pharmacodynamics and dysregulated pathways in GBM was developed and validated using multi‐type time‐ and dose‐resolved datasets, available in control or MGMT‐overexpressing cells. In silico drug screening and subsequent experimental validation identified a strategy to re‐sensitise TMZ‐resistant cells consisting in combining TMZ with inhibitors of the base excision repair and of homologous recombination. Using ML, functional signatures of response to such optimal multi‐agent therapy were derived to assist decision‐making in patients. Conclusion and Implications We successfully demonstrated the relevance of combined QSP and ML to design efficient drug combinations re‐sensitising glioblastoma cells initially resistant to TMZ. The developed framework may further serve to identify personalised therapies and administration schedules by extending it to account for additional patient‐specific altered pathways and whole‐body features
Human plasma protein bindings of neonicotinoid insecticides and metabolites
No full textInternational audienceNeonicotinoid insecticides (neonicotinoids) are widely used in agriculture, forestry and public health in the world. Environmental exposure to neonicotinoids has been increasing due to their continuous uses. Neonicotinoids act as agonists, antagonists, or modulators of acetylcholine receptors and have adverse effects on non-target species, such as invertebrates, amphibians, reptiles, birds, microbes and mammals. Although there is concern about their adverse effects on ecosystem services and their potential effects on human health, their xenobiotic kinetics and dynamics in humans are not understood well. In this study, we determined a xenobiotic kinetic parameter, plasma protein bindings (PPBs) of 7 neonicotinoids and 18 metabolites with human plasma using a Rapid Equilibrium Dialysis (RED) device and liquid chromatography-tandem mass spectrometry (LC–MS/MS), and compared their PPBs with their physicochemical properties. 6-chloronicotinic acid (6-CNA) exhibited the highest PPB (86.4%), followed by imidacloprid-olefin (86.3%) in human plasma. Their PPBs are much higher than that of the parent compound, imidacloprid (27.5%). The PPBs of neonicotinoids and metabolites are not related to their lipophilicity determined by reversed-phase LC. The results shed light on the behavior of environmentally exposed neonicotinoids and metabolites and warrant further research on their xenobiotic kinetics and dynamics in humans
In-situ monitoring the structural pathway of a Ti-based alloy from metallic liquid to metallic glass
No full textInternational audienceA metallic glass is formed when a molten metallic alloy is cooled rapidly enough that crystallisation is avoided. However, the way the atomic structure of the liquid converts to that of the glass is generally unknown. The main challenge is the sufficiently fast experimental acquisition of structural data in the undercooled liquid regime necessitated by the high cooling rates needed to avoid crystallisation. In the present study, using aerodynamic levitation, the Ni-free Ti-based alloy Ti40Zr10Cu34Pd14Sn2 was vitrified in-situ in a high-energy synchrotron X-ray beam while diffraction data were acquired during cooling from above the liquidus temperature Tliq to well below the glass-transition temperature Tg. The structure in the undercooled liquid regime shows an accelerated evolution. Both the local order in the short (SRO) and medium range (MRO) increases rapidly as the undercooled liquid approaches Tg, below which the amorphous structure “freezes”. Nevertheless, distinct differences between the evolution of SRO and MRO were observed. The structural rearrangements in the undercooled liquid are found to be correlated with a rapid increase in viscosity of the metallic liquid upon cooling. The new findings shed light on the evolution of the atomic structure of metallic liquids during vitrification and the structural origins of the sluggish kinetics that suppress nucleation and growth of crystalline phases