Objective
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 develop an AI capable of building from scratch digital twins of the objects present in the scene from computer vision. The advantageous use of the laws of physics, through inductive, geometric and learning biases, will allow the models generated here to be predictive and highly accurate.
In turn, generative artificial intelligence that understands the physical workings of the world will enable unprecedented ways of creating and designing new products and processes. A new generation of physics-informed generative adversarial networks will enable the creation of a new generative design methodology.
At the same time, once AI understands how the world works, it will be possible to create synthetic worlds that behave like our own (giving rise to the industrial metaverse) or harness new forms of extended reality to convey knowledge to the engineer in ways not yet explored. Simulated reality (visual, haptic) will be able to interact with physical reality, so that we can explore how new designs interact with the real world without the need for a physical prototype.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences artificial intelligence computer vision
- natural sciences computer and information sciences artificial intelligence generative artificial intelligence
- natural sciences computer and information sciences software software applications virtual reality
- social sciences law
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2025-ADG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
50009 Zaragoza
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.