Objective
Field Programmable Gate Arrays (FPGAs) are widely deployed in space missions and critical computing applications for their flexibility and energy efficiency. Yet, they remain highly vulnerable to radiation-induced faults, where a single bit-flip can compromise functionality. Traditional countermeasures, such as hardware redundancy or manual reprogramming, are costly, energy-intensive, and too slow to guarantee mission reliability in harsh environments. This project explores a novel approach to fault tolerance in FPGAs by applying the PI’s recent breakthrough in Neural Developmental Programs (NDPs), a generative AI method inspired by biological growth and adaptation. Instead of relying on costly redundancy or slow reprogramming, our method enables on-the-fly reconfiguration through localized message-passing directly within the FPGA’s memory architecture. This self-healing mechanism promises rapid, energy-efficient recovery from radiation-induced faults, a critical challenge for space missions where reliability and efficiency are paramount. Beyond space, this approach has wide potential in domains where resilience and efficiency are crucial, such as neuromorphic computing, quantum accelerators, autonomous systems, and critical infrastructure. Ultimately, this high-risk/high-gain project has the potential to redefine hardware design by introducing a generative paradigm that mirrors nature’s ability to produce robust and efficient systems.
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.
- engineering and technology environmental engineering ecosystem-based management climatic change mitigation
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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-POC - HORIZON ERC Proof of Concept 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-POC
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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.
2300 KOBENHAVN
Denmark
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.