Explore the words cloud of the devSAFARI project. It provides you a very rough idea of what is the project "devSAFARI" about.
The following table provides information about the project.
Coordinator |
RISE RESEARCH INSTITUTES OF SWEDEN AB
Organization address contact info |
Coordinator Country | Sweden [SE] |
Total cost | 279˙192 € |
EC max contribution | 279˙192 € (100%) |
Programme |
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility) |
Code Call | H2020-MSCA-IF-2018 |
Funding Scheme | MSCA-IF-GF |
Starting year | 2019 |
Duration (year-month-day) | from 2019-09-01 to 2022-08-31 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | RISE RESEARCH INSTITUTES OF SWEDEN AB | SE (BORAS) | coordinator | 279˙192.00 |
2 | THE REGENTS OF THE UNIVERSITY OF CALIFORNIA | US (OAKLAND CA) | partner | 0.00 |
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.
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "DEVSAFARI" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "DEVSAFARI" are provided by the European Opendata Portal: CORDIS opendata.