« Physical AI » : différence entre les versions
(Page créée avec « ==en construction== == Définition == XXXXXXXXX == Français == ''' XXXXXXXXX ''' == Anglais == '''Physical AI''' Physical AI, this emerging category blends sensor data, real-time computing, and adaptive algorithms to turn real-world spaces into intelligent systems. The benefits of this combination work in both directions and form a virtuous cycle: The physical space generates operational data for AI solutions to process, evaluate and learn from. The AI p... ») |
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<!--Artificial intelligence systems that not only process information and make decisions in the digital space but also interact directly with the physical world and they use sensors to perceive their environment, model dynamic states of the real world, make autonomous decisions on how to act, and implement these decisions using actuators. The aim is to achieve continuous adaptation and learning ability under conditions of uncertainty, limited perception, and physical laws.--> | |||
== | == Sources == | ||
[https://arxiv.org/pdf/2511.09497 Source : arxiv] | |||
[https://www.nvidia.com/en-us/glossary/generative-physical-ai/ Source : nvidia] | [https://www.nvidia.com/en-us/glossary/generative-physical-ai/ Source : nvidia] | ||
[https://www.researchgate.net/publication/392709593_A_Systematic_Review_of_Physical_Artificial_Intelligence_Physical_AI_Concepts_Applications_Challenges_and_Future_Directions Source : Research Gate] | |||
[[Catégorie:vocabulary]] | [[Catégorie:vocabulary]] | ||
Dernière version du 23 février 2026 à 14:10
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Définition
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Physical AI
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Contributeurs: Arianne Arel, wiki





