The fourth batch of Finnish research projects to utilize LUMI, Europe’s fastest supercomputer, have been chosen, and will run on the system using its massive GPU capacity. The projects are, for example, continuing the development of computational pathology tools, advancing multimodal AI across dozens of languages, studying small-scale dynamos in stellar convection zones and much more. The resources were granted in the Fourth Finnish LUMI Extreme Scale Call, which shared resources from Finland’s country share of the LUMI resources. The accepted projects are:
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Researchers from the University of Eastern Finland, the University of Turku, and Tampere University have developed an artificial intelligence-based method for virtual staining of histopathological tissue samples as a part of the Nordic ABCAP consortium. Chemical staining has been the cornerstone of studying histopathology for more than a century and is widely applied in, for example, cancer diagnostics.
Researchers from the University of Eastern Finland, the University of Turku, and Tampere University have developed an artificial intelligence-based me..