Technological advances

Technological advances • February 28, 2023

February 28, 2023 | Natural language processing and requirements engineering for better government contract bids

Government contracts processing: CEA-List is using its natural language processing and requirements engineering tools to help make the bid submission process more efficient.

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Technological advances • February 23, 2023

February 23, 2023 | Simulator helps verify mechanical part replacement feasibility and ergonomics for ITER fusion reactor

Researchers at CEA-List worked with a team at CEA-IRFM to develop simulation and virtual reality technologies to evaluate part replacement scenarios.

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Technological advances • February 13, 2023

February 9, 2023 | Tracking soccer players in real time

Researchers at CEA-List brought their unique expertise to a new neural-network-based image analysis solution that successfully tracked soccer players in short video clips.

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Technological advances • January 24, 2023

January 24, 2023 | Software Heritage, preserving software source code

CEA-List provides strategic support to the Software Heritage Foundation, a multi-stakeholder nonprofit that is building a universal software archive.

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Technological advances • January 5, 2023

January 5, 2023 | Artificial intelligence helps government agency with letter writing

CEA-List developed an AI-powered letter writing assistant and handed it off to France’s consumer protection agency.

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Technological advances • December 15, 2022

December 15, 2022 | PREDIRE pipework inspection system, the result of a successful partnership between SARP and CEA-List, makes maintenance more efficient and cost-effective

CEA-List came up with the PREDIRE inspection system after being contacted by SARP for a solution in 2014. The smart wireless crawling drone is the ideal addition to the conventional—and more limited—video inspection techniques that have been used for a decade.

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Technological advances • December 8, 2022

December 8, 2022 | Reliable neural network AIs, guaranteed

Neural network AIs are making inroads into autonomous vehicles, image and language processing, and a host of other use cases—some of which require a high degree of reliability. CEA-List developed a tool called PyRAT that ensures neural network AIs are robust enough to be implemented in critical systems.

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