project . 2020 - 2023 . On going

devSAFARI

A Low-Power Artificial Intelligence Framework based on Vector Symbolic Architectures
Open Access mandate for Publications European Commission
  • Funder: European CommissionProject code: 839179 Call for proposal: H2020-MSCA-IF-2018
  • Funded under: H2020 | MSCA-IF-GF Overall Budget: 279,192 EURFunder Contribution: 279,192 EUR
  • Status: On going
  • Start Date
    09 Jan 2020
    End Date
    08 Jan 2023
  • Detailed project information (CORDIS)
  • Open Access mandate
    Research Data: No
Description
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 b...
Partners
Description
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 b...
Partners
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