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EnginSoft (Italy)

corporate_fareorganization
Web page: http://www.enginsoft.com/
Country: Italy

ROR: https://ror.org/038es7c44

Wikidata: Q30254456

EnginSoft (Italy)

32 Projects, page 1 of 7

  • VOCAL-FAN (VIRTUAL OPTIMIZATION CFD PLATFORM ALLOWING FAN NOISE REDUCTION)

    assignment_turned_inProject2011 - 2013Partners:EnginSoft (Italy)
    Funder: European Commission Project Code: 271753
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  • WINGTECH_EVALUATION (WING BOX TECHNOLOGY EVALUATION - TRADE-OFF STUDY FOR THE RANKING OF NEW TECHNOLOGIES BEST FITTING WING)

    assignment_turned_inProject2011 - 2012Partners:ENGINSOFT TO SRL, EnginSoft (Italy)
    Funder: European Commission Project Code: 270586
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  • INTERCER2 (Modelling and optimal design of ceramic structures with defects and imperfect interfaces)

    assignment_turned_inProject2011 - 2015Partners:University of Liverpool, Aberystwyth University, EnginSoft (Italy), University of Trento, SACMI IMOLA SC
    Funder: European Commission Project Code: 286110
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  • SOL2HY2 (Solar To Hydrogen Hybrid Cycles)

    assignment_turned_inProject2013 - 2016Partners:Erbicol, AALTO, DLR, EnginSoft (Italy), OY WOIKOSKI AB +2 partners
    Funder: European Commission Project Code: 325320
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  • SYNCH (A SYnaptically connected brain-silicon Neural Closed-loop Hybrid system)

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Open Access Mandate for Publications assignment_turned_inProject2019 - 2023Partners:TUD, UNIPD, SYNSENSE, Graz University of Technology, University of Southampton +3 partners
    Funder: European Commission Project Code: 824162
    Overall Budget: 4,277,870 EURFunder Contribution: 4,149,610 EUR

    The brain, with its remarkable computational properties, provides animals with capabilities of physical autonomy, interaction and adaptation that are unmatched by any artificial system. The brain is a complex network that has evolved to optimize processing of real-world inputs by relying on event-based signaling and self-reorganizing connectivity. Spikes (the events) are transmitted between neurons through synapses which undergo continuous ‘birth’-‘death’ and adjustment, reconfiguring brain circuits and adapting processing to ever changing inputs. The scientific and technological objective of the project is to create a hybrid system where a neural network in the brain of a living animal (BNN) and a silicon neural network of spiking neurons on a chip (SNN) are interconnected by neuromorphic synapses, thus enabling co-evolution of connectivity and co-processing of information of the two networks

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