SOURCE-LINKED INTELLIGENCE

Physics-informed Spatial Artificial Intelligence

CORDIS · observation · Publication date unknown

Physics-informed Spatial Artificial Intelligence There is a broad consensus among the artificial intelligence (AI) community that, while there has been great progress in the field of verbal intelligence through large language models, if AI cannot understand the physical underpinnings of the world, this progress will stagnate. For an AI to understand the world, we need to develop spatial artificial intelligence. By spatial AI we mean artificial intelligence capable of understanding and interacting with three-dimensional, physical environments. The aim of the proposed research is to develop a spatial AI that, far from depreciating centuries of scientific knowledge about the behavior of our world, incorporates it, thus giving rise to a new discipline: physics-informed spatial AI. Learned simulation, rooted in computational mechanics, will drive the understanding of the physical scene. To this end, PHYSIA will de

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recordType

award

status

SIGNED

region

EU

value

2487852

unit

EUR