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29.02.2024

The IIAP recently hosted a significant meeting, focusing on advancing the speed and reconstruction performance of X-ray computed tomography (CT) for materials.





The IIAP recently hosted a significant meeting on February 9, 2024, focusing on advancing the speed and reconstruction performance of X-ray computed tomography (CT) for materials. The discussion centered around the "Enhancing scan speed and reconstruction performance for X-ray computed tomography of materials using new mathematical models and AI-based methods for 3D image processing" (TOMOMATH) project.

Eminent scholars and experts, including Prof. Dr. Ehrenfried Zschech from Brandenburg University of Technology Cottbus-Senftenberg and Dr. Konstantin Bulatov from AI Service LLC, spearheaded the discussion. The meeting witnessed active participation from Aslanyan, H. Sahakyan, and V. Sahakyan, who contributed valuable insights to the discourse. The session delved into innovative mathematical models and AI-driven methodologies, aimed at revolutionizing the field of 3D image processing and CT technology.

This is a step towards harnessing cutting-edge technology to enhance the efficiency and precision of X-ray CT, thereby opening new avenues for material analysis and research.
 
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We invite the attention of Research and Educational institutions, Technological and other organizations involved in high-performance computing and big data analysis.

The Institute for Informatics and Automation Problems (IIAP) of the NAS RA and the Enterprise Incubator Foundation, with support of the Ministry of High-Tech Industry of the Republic of Armenia, are pleased to announce the availability of the "Aznavour" supercomputer's resources in the #EngineeringCity for a free during 2024.

To register, please visit:
https://lnkd.in/drGrAEA7.



                                                           
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