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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
the development of agentic artificial intelligence systems. Unlike conventional conversational systems, AI agents can generate action plans, invoke external software tools and APIs, communicate with other agents
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d'Azur. The team is composed of computer scientists but has a strong interdisciplinary focus, particularly in linguistics, philosophy, sociology, and law. MARIANNE proposes innovative methods for natural
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spectrum of topics in CNU sections 27 "Computer Science" and 61 "Computer Engineering, Automation and Signal Processing". The laboratory is located at the heart of the Sophia Antipolis technology park, in a
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, or supervised/unsupervised learning depending on the available data) using spatial analysis and geographic machine learning tools (e.g., scikit-learn, PyTorch/TF + GeoPandas/Shapely) - Implementing a semantic
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computer, virtual data storage, and access to software tools for specialized data analysis (e.g., Cryo-EM data, crystallography, etc.). Structural microbiology: Exopolysaccharide secretion and host
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high-technology group operating in the aerospace, space, and defence sectors. The company designs, manufactures, and supports cutting-edge systems and equipment for civil and military applications. As
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
Contract. General Positioning Artificial intelligence (AI) began revolutionizing digital services in 2013 with its application to image processing and computer vision. A second revolution arrived around 2020
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
work closely with a second PhD student, primarily based and supervised at Gepetto, and focusing on the development of RL motion generation and simulation-driven co-design tools. The two PhD projects will
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Toulouse, who developed a tool called BibHélioTech, which serves a precursor to this thesis's research. International collaborations are also possible, particularly with the NASA/ADS (Astrophysics Data
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of technological disruption driven by Artificial Intelligence, we propose to analyze the data and quantify these similarities by exploring various applications of machine learning methods. With the advancement of AI