Opendata, web and dolomites

MeM-Scales SIGNED

Memory technologies with multi-scale time constants for neuromorphic architectures

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 MeM-Scales project word cloud

Explore the words cloud of the MeM-Scales project. It provides you a very rough idea of what is the project "MeM-Scales" about.

interaction    inherent    combine    spanning    chip    computational    exploited    nano    medical    neurons    synapses    software    spiking    computing    commitment    played    circuit    thin    wearable    fabrication    algorithms    innovative    computation    supporting    distributed    cognitive    hardware    reflecting    timescales    efforts    electronic    environmental    human    instance    microprocessor    numerical    entirely    nonlinear    microchips    film    neuromorphic    physical    monitoring    lifting    cope    co    function    modeling    platform    vice    magnitude    device    implantable    mismatch    drift    innovations    scales    substrates    electronics    fundamental    analog    architectures    microprocessors    computer    engineering    close    diagnostic    stochasticity    transistor    mem    multiple    introduces    efficiency    physics    interfacing    theory    power    basis    fabricated    autonomous    technologies    machine    volatile    extreme    cross    disciplinary    perspectives    memory    performance    precision    dimensional    science    orders    versa    learning   

Project "MeM-Scales" data sheet

The following table provides information about the project.

Coordinator
COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES 

Organization address
address: RUE LEBLANC 25
city: PARIS 15
postcode: 75015
website: www.cea.fr

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 France [FR]
 Total cost 3˙950˙628 €
 EC max contribution 3˙950˙628 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2019-2
 Funding Scheme RIA
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2022-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES FR (PARIS 15) coordinator 889˙323.00
2    AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS ES (MADRID) participant 569˙926.00
3    IBM RESEARCH GMBH CH (RUESCHLIKON) participant 517˙437.00
4    INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM BE (LEUVEN) participant 439˙931.00
5    CONSIGLIO NAZIONALE DELLE RICERCHE IT (ROMA) participant 390˙857.00
6    UNIVERSITAT ZURICH CH (ZURICH) participant 388˙905.00
7    RIJKSUNIVERSITEIT GRONINGEN NL (GRONINGEN) participant 304˙378.00
8    STICHTING IMEC NEDERLAND NL (EINDHOVEN) participant 249˙868.00
9    AICTX AG CH (ZURICH) participant 200˙000.00

Map

 Project objective

'The project MeM-Scales aims at lifting neuromorphic computing in analog spiking microprocessors to an entirely new level of performance. Work in this project is based on a dedicated commitment that novel hardware and novel computational concepts must be co-evolved in a close interaction between nano-electronic device engineering, circuit and microprocessor design, fabrication technology and computing science (machine learning and nonlinear modeling). A key to reflecting 'hardware physics' in 'computational function' and vice versa is the fundamental role played by multiple timescales. Here MeM-Scales introduces a number of innovations. On the side of physical substrates, novel memory and device technologies, supporting on-chip learning over multiple timescales for both synapses and neurons, will be fabricated. To enable timescales spanning up to 9 (!) orders of magnitude both volatile memory and non-volatile memory as well as Thin Film Transistor technology will be exploited. On the side of computational theory, autonomous learning algorithms and architectures supporting computation over these wide range of timescales will be developed. These computational methods are specifically tailored to cope with the low numerical precision, parameter drift, stochasticity, and device mismatch which are inherent in analog nano-scale devices. These cross-disciplinary efforts will lead to the fabrication of an innovative hardware/software platform as a basis for future products which combine extreme power efficiency with robust cognitive computing capabilities. This new kind of computing technology will open new perspectives, for instance, for high-dimensional distributed environmental monitoring, implantable medical diagnostic microchips, wearable electronics or human-computer interfacing.'

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "MEM-SCALES" 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 "MEM-SCALES" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.2.1.1.)

MULTIPOINT (2019)

Multibeam Femtosecond Laser System for High Throughput Micro-drilling of HLFC Structures

Read More  

NGI FORWARD (2019)

NGI FORWARD

Read More  

B-HUB FOR EUROPE (2020)

Blockchain HUB FOR EUROPEan startups acceleration and growth

Read More