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

Projekti na področju umetne inteligence

Ciljne organizacije:	MSP, Neprofitne, Velika
Kategorija:	Digitalizacija

Izdajatelj:	Eureka
Spletna stran:	https://www.eurekanetwork.org/open-calls/clusters-artificial…

Celotni budžet:	15.000.000 €
Rok za oddajo:	28.06.2021
Podelitev min-max:
Lastna udeležba*:	%
Ključne besede:	partnerstva
Zanimiv razpis?

Najdi sredstva zase

Opis razpisa
Upravičene organizacije
Projektni partnerji
Upravičeni stroški
O časovnici
Posebni pogoji (1)

Iščejo se projekti, ki bodo oblikovali inovativne ekosisteme z umetno inteligenco v svojem jedru, ki bodo omogočili napredek na področju najnovejših dosežkov in prinesli priložnosti za komercialni in/ali družbeni učinek na obravnavanih področjih uporabe.

Namen je združiti partnerje iz širše skupnosti vseh vrst uporabnikov umetne inteligence (velika podjetja, MSP, raziskovalne in tehnološke organizacije ter univerze). Pričakujejo se srednje veliki projekti z upravičenimi stroški v razponu od 3 do 15 milijonov EUR, čeprav se lahko v ocenjevanje predložijo tudi predlogi projektov zunaj tega razpona.