D2.3 - OPTIMAI - State of the art survey
Papageorgiou, Elpiniki
Teodoro, Emma (Universitat Autònoma de Barcelona. Institut de Dret i Tecnologia)
Guillén, Andrea (Universitat Autònoma de Barcelona. Institut de Dret i Tecnologia)
Casanovas, Pompeu (Universitat Autònoma de Barcelona. Institut de Dret i Tecnologia)
Theodosiou, Theodosis
Papageorgiou, Elpiniki
Charalampous, Paschalis
Dimitriou, Nikos
Gómez, Andrea
Gurzawska, Agata
Hayes, Paul
Margetis, Georges
Tinker, Greg

Data:	2021
Descripció:	157 pàg.
Resum:	This report is in fulfilment of requirements for Deliverable D2. 3 of OPTIMAI. The document reports the State-of-the-Art in related scientific fields and identifies relevant research initiatives. Information contained herein is the result of activities performed in Task 2. 2 (State of the art analysis, existing and past research initiatives). The key activities performed in this task are summarized in the following list: - Short introduction to Industry 4. 0 to support the relevance and necessity of artificial intelligence in modern industry. - Assessment of the state-of-the-art within existing results coming from related projects, to identify which ones are relevant to OPTIMAI. This assessment was performed in terms of functionality provided, innovation capacity, technology, license, status, etc. - Assessment of the state-of-the-art within relevant scientific domains, including Artificial Intelligence (AI) for Industry, Metrology, AI-enhanced Digital Twins, Internet of Things (IoT) sensors, Computer Vision and Augmented Reality. - For the sake of completeness, a survey on ethical aspects is also performed. This is kept short since it is subject to other Deliverables of OPTIMAI. The review methodology is described in detail, in terms of sources, search keys, criteria for selection/exclusion etc. , so that this work is repeatable. 269 articles were finally considered for inclusion in this report. Upon review of all relevant works, findings are summarized and discussed. The use of artificial intelligence technologies in various industrial fields is explored and investigated; enlightening graphs are produced to visualize the distribution and popularity of each AI-tech, implying its suitability for different purposes.
Ajuts:	European Commission. Horizon 2020 958264
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Llengua:	Anglès
Document:	Informe ; recerca ; Versió publicada

157 p, 12.7 MB

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