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identification of optimization levers while ensuring compliance with safety requirements. The work will be based on process and decision modeling standards (notably BPMN and DMN), enhanced by agent-based AI
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simulations, so that they maintain their validity. The process consists in evaluating a sequence of overlapping mental simulations to construct the future course of actions that the agent will take, based
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teaming strategies. - Participating in the creation of realistic simulated environments based on environmental data. - Defining evaluation protocols and performance metrics (safety, energy, mission
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compositions of these materials with potential adsorption properties for simulants of toxic agents or catalytic properties of interest for degradation action, a molecular modeling approach based on density
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polarisation extraction from simulations. The researcher will use standalone simulation and develop the studies to provide systematics and detailed studies of many potential limiations. Simulation of background
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 7 days ago
of hybrid modeling frameworks for electromobility, combining physical models, graph-based representations, and data-driven approaches. It aims at integrating large-scale mobility data to improve
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using gem5 simulator as the main execution backend for the RL agent, while also investigating the potential of RTL simulation and physical RISC-V board as complementary execution nvironments. A key aspect
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, abandonment, comments, peer interaction) Formalization of algorithms for orchestrating educational AI agents : Train RL and LLM agents and study multi-objective optimization (mastery, well-being stability) Work
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. Photoacoustic sensing (introductory video: https://youtu.be/2f3V0DQNLYg ) is based on a transformation of absorbed optical energy into ultrasound waves, when a transient optical excitation is used. The optical
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., 2022. Calibrated Photoacoustic Spectrometer Based on a Conventional Imaging System for In Vitro Characterization of Contrast Agents. Sensors 22, 6543. https://doi.org/10.3390/s22176543 Nicolas-Boluda, A