The complexity of Artificial Learning - CNR Foresight report
Bacco F. M., Colantonio S., Lepri S., Bartolucci C., Cinti C., Falchi F., Giannotti F.
Artificial Learning Artificial Intelligence Foresight Complex systems Data Models Algorithms
Artificial learning will significantly affect human life and science in the next decades. However, its basic principles of functioning are still theoretically not well understood. The aim of the workshop was to examine the relations and perspectives of the interaction between Data and Computer Sciences and Complexity theory on this matter.
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@misc{oai:it.cnr:prodotti:465602,
title = {The complexity of Artificial Learning - CNR Foresight report},
author = {Bacco F. M. and Colantonio S. and Lepri S. and Bartolucci C. and Cinti C. and Falchi F. and Giannotti F.},
year = {2022}
}Bacco, Felice Manlio
0000-0001-6733-1873
Colantonio, Sara0000-0003-2022-0804
Falchi, Fabrizio0000-0001-6258-5313
Giannotti, Fosca0000-0003-3099-3835
Lepri, Stefano0000-0001-8675-9541
Wireless Networks (2002-ongoing)
Signals and Images (2002-ongoing)
Artificial Intelligence for Media and Humanities (2021-ongoing)
