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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Technological advances • October 18, 2022

October 18, 2022 | Deep learning for non-specialists now possible with transfer learning

CEA-List recently came up with a method for selecting the most suitable existing neural network for adaptation and reuse for new target applications. This advance makes it possible to train classification neural networks, or CNNs, without subject matter expertise or large datasets.

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