Vladimir Gusakov said: “Today's event is supposed to invigorate cooperation of young scientists of Belarus and Russia and to get young researchers of our countries involved in the accomplishment of socially important tasks concerning the development of the Union State."
Belarusian scientists get CIS awards for space exploration R&D
MINSK, 13 May (BelTA) – Scientists of the National Academy of Sciences of Belarus have been awarded the interstate prize Stars of the Commonwealth for R&D work in the area of space exploration, the press service of the National Academy of Sciences of Belarus told BelTA.
The Belarusian team includes Director General of the United Institute of Informatics Problems of the National Academy of Sciences of Belarus Aleksandr Tuzikov, Director of the R&D enterprise Geoinformation Systems of the National Academy of Sciences of Belarus Sergei Zolotoi, and Head of the Joint Programs on Space and Information Technologies Department of the United Institute of Informatics Problems Sergei Korenyako. The scientists are awarded for a great contribution to the development and the successful realization of Belarusian-Russian programs in the area of space exploration, for R&D work for the sake of development of Belarus space industry, a
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The top 10 results have been unveiled in the first-of-its-kind COVID-19 Lung CT Lesion Segmentation Grand Challenge, a groundbreaking research competition focused on developing artificial intelligence (AI) models to help in the visualization and measurement of COVID specific lesions in the lungs of infected patients, potentially facilitating to more timely and patient-specific medical interventions.
Attracting more than 1,000 global participants, the competition was presented by the Sheikh Zayed Institute for Pediatric Surgical Innovation at Children s National Hospital in collaboration with leading AI technology company NVIDIA and the National Institutes of Health (NIH). The competition s AI models utilized a multi-institutional, multi-national data set provided by public datasets from The Cancer Imaging Archive (National Cancer Institute), NIH and the University of Arkansas, that originated from patients of different ages, genders and with variable disease severity. NVID