Objective
Like infants, modern artificial intelligence (AI) often begins by learning patterns in large streams of unstructured data. While impressive in some tasks, in others it falls short; it is worse than infants at generalising to new tasks and requires vastly more data and energy, at considerable financial and ecological cost. However, infant-inspired algorithms might close this gap. In turn, it would be invaluable for developmental science to have computational models of how understanding develops from the interaction of the brain’s intrinsic constraints with an infant’s experience. Developmental science and AI would benefit enormously from being brought together but remain deeply disconnected due to the difficulty of measuring infants’ cognition from their behaviour. This has led developmental science to focus on proof-of-concept “toy problems” while in contrast AI has focused on rich naturalistic datasets relevant to applications. To bridge the disciplines, we will use new neuroimaging tools that allow rich measurement of infant’s internal states. With awake functional magnetic resonance imaging, we will measure the brain representations of rich naturalistic visual stimuli in infants from 2-months-old, and with optically pumped magnetometer magnetoencephalography, we will obtain complementary measures of dynamic processing, which we will compare to AI models. We will focus on a dynamic research area in developmental science and AI, visual cognition, the process through which humans and machines understand what they see. Our objectives will be to investigate the understanding of people and objects; their physical and social relations; and predicting what they will do next. Using DNN models of the development of visual cognition, we aim to elucidate the mystery of how infants learn to see and understand. In turn, we aim to inspire a paradigm for the development of the next generation of AI that performs better, is more adaptive and efficient, and ultimately, more human.
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
- engineering and technology medical engineering diagnostic imaging magnetic resonance imaging
- natural sciences physical sciences condensed matter physics magnetism
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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.
D02 CX56 Dublin
Ireland
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.