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pro vyhledávání: '"Cedric Mingham"'
Autor:
Anne M. Kiirikki, Hanne S. Antila, Lara S. Bort, Pavel Buslaev, Fernando Favela-Rosales, Tiago Mendes Ferreira, Patrick F. J. Fuchs, Rebeca Garcia-Fandino, Ivan Gushchin, Batuhan Kav, Norbert Kučerka, Patrik Kula, Milla Kurki, Alexander Kuzmin, Anusha Lalitha, Fabio Lolicato, Jesper J. Madsen, Markus S. Miettinen, Cedric Mingham, Luca Monticelli, Ricky Nencini, Alexey M. Nesterenko, Thomas J. Piggot, Ángel Piñeiro, Nathalie Reuter, Suman Samantray, Fabián Suárez-Lestón, Reza Talandashti, O. H. Samuli Ollila
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Tools based on artificial intelligence (AI) are currently revolutionising many fields, yet their applications are often limited by the lack of suitable training data in programmatically accessible format. Here we propose an effective solutio
Externí odkaz:
https://doaj.org/article/acfa193917a24cbab8ffde269f7d7c0d
