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FIP Management receives recommendations from Advisory Council

FIP Management receives recommendations from Advisory Council
The annual meeting of the Advisory Council of the Fraunhofer Innovation Platform for Applied Artificial Intelligence in Materials & Manufacturing at VSB - Technical University of Ostrava (FIP-AI@VSB-TUO) was held on 12 April this year. During the meeting, members offered several recommendations and suggestions for the future operations of the platform.

"Positive feedback was given for the ongoing and submitted projects with potential for practical application, as well as for the key performance indicators achieved. On the other hand, there was a repeated call for greater involvement of companies in these projects. Additionally, support from local politicians, who play a key role in establishing contacts between academia and the business sector, is essential. The Moravian-Silesian Innovation Centre, which supports communication between businesses and researchers and maintains contact with public administration and local government, also contributes to this," explained Kateřina Angus from the FIP-AI@VSB-TUO organisational support team.

Advisory Council member Ivo Vondrák emphasised the importance of identifying topics that can effectively utilise supercomputer technology. With a quantum supercomputer set to be installed at the IT4Innovations National Supercomputing Center, quantum computing holds the potential to revolutionise various scientific fields. "However, it is essential that scientists learn how to use this technology effectively," Vondrák noted.

The Advisory Council serves as a consultative body for FIP-AI@VSB-TUO that meets annually with the management of the Fraunhofer Innovation Platform. It provides feedback and recommendations on FIP-AI@VSB-TUO's research and technology transfer strategy, addressing current and anticipated industry demands as well as innovative scientific trends.

Text: Martina Šaradínová

Photo: Petr Havlíček

Created: 15. 4. 2024
Category:  News
Department: 9320 - Science and Research Management and the PhD Academy
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