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Scientific contributions to the Confiance.ai program

Scientific contributions to the Confiance.ai program

by Samanta | Oct 2, 2024 | Non classifié(e)

Scientific contributions to the Confiance.ai program Home > News > Non classifié(e) Scientific focus in Confiance.ai Confiance.ai is an industrial research and development programme, its purpose was not to develop new science. Its main focus was to exploit available...
Our contribution in support of future European AI regulation

Our contribution in support of future European AI regulation

by Samanta | May 6, 2024 | Non classifié(e)

Our contribution in support of future European AI regulation Home > News > Non classifié(e) Confiance.ai produces technologies and methodologies that can be used to help companies meet the requirements of future regulations (AI Act).   A three-level approach The...
The design of robust AI algorithms and applications for industrial use from Confiance.ai

The design of robust AI algorithms and applications for industrial use from Confiance.ai

by Samanta | May 6, 2024 | Non classifié(e), Robustness of AI components

The design of robust AI algorithms and applications for industrial use from Confiance.ai Home > News > Robustness of AI components In our article “8 scientific challenges on the global approach for AI components with controlled trust”, we listed a certain...
Look back at Confiance.ai Day 2024, the must-attend event for trustworthy AI

Look back at Confiance.ai Day 2024, the must-attend event for trustworthy AI

by Samanta | Mar 20, 2024 | Event

Look back at Confiance.ai Day 2024, the must-attend event for trustworthy AI Home > News > Samanta Page 2 Confiance.ai Day, the must-attend event on trustworthy AI, was held on March 7, 2024 at the Direction Générale des Entreprises (DGE). For the 360 participants in...
2 scientific challenges on the global approach to data management for learning

2 scientific challenges on the global approach to data management for learning

by Samanta | Jan 29, 2024 | Data lifecycle, Non classifié(e)

2 scientific challenges on the global approach to data management for learning Home > News > Non classifié(e) Designing a component based on machine learning requires mastering the life cycle of the data and knowledge used for its training and qualification. If the...
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