Abstract
In the last two decades, the application of artificial intelligence (AI) in different fields has increased significantly. As an interdisciplinary field, AI methods are improving toward efficiency and applicability due to a vast number of high-quality research and adopting themselves with multiple use cases. Therefore, the industry is investing in AI-based companies to overcome their use cases efficiently. This paper discusses the collaboration between two research-based companies with different expertise, one in the fields of Data and Software Science and the other in tribology. We show how both companies benefit from such collaboration to tackle the problem at hand.
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Acknowledgement
This work is mainly supported by the “Austrian COMET-Programme” (Project InTribology, no. 872176). Furthermore, a part of the research has been funded by the Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology (BMK), the Federal Ministry for Digital and Economic Affairs (BMDW), and the Province of Upper Austria in the frame of the COMET-Competence Centers for Excellent Technologies Programme and the COMET Module S3AI managed by Austrian Research Promotion Agency FFG. We would like to thank Dr. Florian Sobieczky, Dr. Bernhard Moser, and Dr. Volkmar Wieser from SCCH and Dr. Josef Prost, Dr. Markus Verga, and Dr. Georg Vorlaufer from AC2T for supporting the cooporation.
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Kargaran, S., Glock, AC., Freudenthaler, B., Freudenberger, M., Jech, M. (2022). An Untold Tale of Scientific Collaboration: SCCH and AC\(^2\)T. In: Kotsis, G., et al. Database and Expert Systems Applications - DEXA 2022 Workshops. DEXA 2022. Communications in Computer and Information Science, vol 1633. Springer, Cham. https://doi.org/10.1007/978-3-031-14343-4_12
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