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certification based on proof of validity and reproducibility. The R&D questions concern : (For P1) "AI as a service" to enrich engineering: modelling of the changing, complex and uncertain environment
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the supervision of PhD or Master students. The recruited person will exploit the existing test benches (Beta source and infrared laser) developed for the first EICROC protype (EICROC0, 4x4 channels) to characterize
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economic models based on technological building blocks in key economic sectors or on macro-economic data to estimate present and future environmental costs. Economic value of AI and its environmental
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integrate the use of Large Language Models (LLMs), LLM agent, Agentic AI models and automated reasoning approaches for the interpretation of complex data, the analysis of experimental protocols, and the
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) department at Telecom Paris. Reinforcement learning (RL) has emerged as a useful paradigm for training agents to perform complex tasks. Model-based RL (MBRL), in particular, promises greater sample efficiency
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training an autonomous agent to ‘learn’ a control strategy. This formalism is similar to that of optimal control, with the difference that the agent does not have an explicit model of the dynamics
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to different incentive attributes such as insurance or material (reserved land) For potential future inhabitants, you will model the choices made by individuals, based on their wealth, when offered
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Paris, is one of France's top 5 general engineering schools. The mainspring of Télécom Paris is to train, imagine and undertake to design digital models, technologies and solutions for a society and