Opendata, web and dolomites

devSAFARI SIGNED

A Low-Power Artificial Intelligence Framework based on Vector Symbolic Architectures

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "devSAFARI" data sheet

The following table provides information about the project.

Coordinator
RISE RESEARCH INSTITUTES OF SWEDEN AB 

Organization address
address: BRINELLGATAN 4
city: BORAS
postcode: 501 15
website: www.ri.se

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 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

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
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

Map

 Project 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.

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.

More projects from the same programme (H2020-EU.1.3.2.)

EPIC (2019)

Evolution of Planktonic Gastropod Calcification

Read More  

NeoPur (2019)

New treatments and novel diagnostic tests for neonatal seizures based on purinergic signaling.

Read More  

DEMOS (2019)

Disfluencies and Eye MOvements during Speech: what can they reveal about language production?

Read More