Project description
Bio-inspired tools for a broader AI implementation
The main factors that limit the widespread application of artificial intelligence (AI) in daily life are the requirement of significant computational resources and the lack of transparency of artificial neural networks (ANNs). The EU-funded devSAFARI project aims to address these challenges by developing a transparent, bio-inspired framework for AI, namely Vector Symbolic Architectures (VSAs). VSAs provide low-power computing hardware with huge potential for AI algorithm implementation. Moreover, due to their predictable statistical properties, they are ideal for deciphering ANNs. devSAFARI aspires to improve the understanding of computing principles in high-dimensional spaces with VSAs and advance the theory and design principles of simple AI algorithms that are implementable on emerging low-power computing hardware.
Objective
Artificial Neural Networks (ANNs) form the main approach in Artificial Intelligence (AI). They have two major drawbacks, however: (1) ANNs require significant computational resources; (2) they lack transparency. These challenges restrict the widespread application of AI in daily life. The required resources prevent the use of ANNs on resource-constrained devices and the lack of transparency limits their adoption in many areas where transparency is critical. This action will address these challenges via development of Vector Symbolic Architectures (VSAs): a transparent, bio-inspired framework for AI. With respect to the 1st challenge, VSAs have the potential to become a computational paradigm for emerging low-power computing hardware with huge potential for implementing AI algorithms. With respect to the 2nd challenge, VSAs are a promising framework for opening the black box of ANNs due to their predictable statistical properties. It is expected that VSAs will allow analytical characterization of a class of Recurrent ANNs.
The overall research aim of this action is to improve the understanding of computing principles in high-dimensional spaces with VSAs, and to advance the theory and design principles of simple AI algorithms implementable on emerging low-power computing hardware. The research aim comprises five research objectives. These are relevant to H2020 Work Programme since this action has much potential with respect to the “market creating innovation” and “digitising and transforming industry” aspects of the Programme. The mechanisms for achieving the objectives include both theoretical development and applied investigations. The methodological approach combines the current skills of the applicant with those acquired during this action. The applicant will develop VSAs skills to qualitatively higher level while working under the supervision of eminent researchers. This will enhance applicant’s professional maturity and prepare him for an independent career.
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 computational intelligence
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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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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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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) H2020-MSCA-IF-2018
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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.
501 15 Boras
Sweden
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.