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AI Standardisation: Challenges & Opportunities on AI Use Cases in Key Sectors

Authors: Giuffrida, Maria; di Francesco, Renaud; Caetano, Isabel; Keko, Hrvoje; Hussein, Rada; Giuffrida, Rita; Emmanouilidis, Christos; +2 Authors

AI Standardisation: Challenges & Opportunities on AI Use Cases in Key Sectors

Abstract

HSBooster.eu organised its first Deep-Dive Workshop Series, focusing on "AI Standardisation: Challenges & Opportunities on AI Use Cases in Key Sectors," on 27 June 2024 from 11:00 to 12:30 CEST. Two HSBooster’s EPE experts in AI collaborated with the organisation of this workshop series with our esteemed speakers from Sony Europe/CEN-CLC JTC 21,and four EU-funded projects—SYNERGY, MobiSpaces, IDERHA, and STAR—shared their experiences and expertise on AI perspectives in energy, healthcare, mobility, and manufacturing. Organised under the remit of HSBooster.eu, this online workshop will connect the dots between AI standardisation expertise and domain-specific knowledge. Participants will gain insights from a series of project use cases that illustrate practical applications and the potential for standardisation in various operational contexts. Through this event, participants can also gain a deeper understanding of how standardisation can drive innovation, efficiency, and harmonization across industries. This webinar acts as the opening event in a series designed to explore the intersections of AI and standardisation. Each session will delve into different aspects of standardisation and AI-related topics, offering an opportunity for knowledge exchange. Visit the event page to watch the recording: https://www.hsbooster.eu/events/ai-standardisation-challenges-opportunities-ai-use-cases-key-sectors

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green