AI bridge between art and science
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F24%3A00599385" target="_blank" >RIV/68378271:_____/24:00599385 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-70670-7_11" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-70670-7_11</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-70670-7_11" target="_blank" >10.1007/978-3-031-70670-7_11</a>
Alternative languages
Result language
angličtina
Original language name
AI bridge between art and science
Original language description
Scientific illustrations have transformed from hand-drawn sketches to sophisticated digital visualizations serving as a nexus between art and science. This paper presents integrating of AI art generation platform to create informative and engaging educational depictions of scientific phenomena. We tackle the challenge of scientific inaccuracy inherent in AI-generated artwork by implementing user-driven interventions, thereby mitigating the hit-or-miss nature of AI. Through this approach, we aim to enhance the accuracy and informativeness of scientific illustrations while maintaining their captivating nature. By leveraging the capabilities of AI alongside human expertise, we seek to push the boundaries of visual representation in scientific discourse, fostering a deeper understanding and appreciation of complex phenomena.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10306 - Optics (including laser optics and quantum optics)
Result continuities
Project
<a href="/en/project/EH22_008%2F0004573" target="_blank" >EH22_008/0004573: Breakthrough Laser Technologies for Smart Manufacturing, Space and Bio-Tech Applications</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Conference on Reliable Systems Engineering (ICoRSE) - 2024
ISBN
978-3-031-70669-1
ISSN
2367-3370
e-ISSN
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Number of pages
17
Pages from-to
123-139
Publisher name
Springer
Place of publication
Cham
Event location
Bukurešť
Event date
Sep 5, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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