Project description
Trustworthy smart systems
From self-driving cars to robot medical devices, software is making increasingly life-or-death decisions. As systems grow more elaborate, however, machine learning introduces new challenges: black-box models that are powerful but hard to verify and explain. In this context, the ERC-funded InOVationCS project will combine verification breakthroughs with learning-based approaches. The goal is to deliver controllers that are scalable, dependable, correct by design, and transparent enough to be trusted. The result could be a milestone towards making intelligent, data-driven systems safe to apply in the real world.
Objective
Software making decisions or controlling cyber-physical systems is ubiquitous, hence its correctness is of paramount importance. While the increasing complexity makes manual implementation extremely error-prone, verification can provide formal guarantees on correctness. Verification of hardware and software has seen many successes and industrialization, making systems safe and reliable and their development more efficient. Controller synthesis goes one step further and avoids the manual implementation, providing a correct-by-construction controller directly. Despite considerable advances, scalable solutions remain elusive here.
Artificial intelligence and machine learning (AI/ML) provide scalable solutions to decision making, but at the cost of their reliability, making their verification even more pressing. Besides, the use of AI/ML gives rise to fundamentally new challeges since models, properties and controllers are now often based on data rather than design. Due to their “black-box” nature, the resulting systems are (i) even harder to verify, and (ii) not explainable enough to be responsibly deployed.
The PI has been pioneering the use of learning in verification to bring together the best of both worlds, scalability and reliability. The main objective of InOVation&CS is to utilize the power of learning in verification and controller-synthesis to overcome both the traditional scalability challenges as well as the recent, data-driven ones. The key to bringing the two closer than ever is a paradigm shift towards explainability and utilizing structure stemming from the presence of intelligence (human or artificial) in the definition, analysis and solution of real problems, thus providing more information to the learning parts. InOVation&CS shall provide new, more applicable and more scalable methodology for producing guaranteed reliable controllers.
Keywords: verification, model checking, Markov decision processes, stochastic games, temporal logics
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.
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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)
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Topic(s)
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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-2024-COG
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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.
601 77 Brno
Czechia
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