Technological advances

Technological advances • August 29, 2024

August 29, 2024 | A safety supervision environment for autonomous systems

CEA-List has developed a runtime safety supervision environment for autonomous systems built using AI.

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Technological advances • August 27, 2024

August 27, 2024 | A real-time industrial robotic controller development framework

The robotic controllers on the market today do not generally offer the interfaces and operating modes needed for CEA-List’s and partners’ teleoperation, cobotics, and robotics R&D.

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Technological advances • August 22, 2024

August 22, 2024 | Advanced digital tools and instrumentation for the characterization of radioactive waste packages

The purpose of the EURATOM Micado project was to develop a fast, non-destructive, cost-effective radioactive waste characterization solution, orchestrated by the DigiWaste waste management and reporting platform.

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Technological advances • July 30, 2024

July 30, 2024 | AI robustness and safety characterization software

CAISAR (Characterizing Artificial Intelligence Safety and Robustness) is an end-to-end open source software environment for AI system specification and verification.

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Technological advances • July 26, 2024

July 26, 2024 | Functional digital twin development software for Industry 4.0

Papyrus4Manufacturing can be used to model and deploy digital interfaces in factories as part of projects to roll out the digital, connected plant assets required for production line reconfiguration, supervision, and predictive maintenance.

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Technological advances • July 18, 2024

July 18, 2024 | NLP helps find answers to feasibility questions in clinical studies

The purpose of the e-Meuse Santé project with Barle-Duc Medical Center is to bring digital innovations that will improve access to healthcare in rural areas in eastern France.

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Technological advances • July 16, 2024

July 16, 2024 | Integration of active attacker models into security program analysis

CEA-List and Université Grenoble Alpes have developed the first-ever software security analysis technique capable of simulating a powerful attacker at scale.

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