An Open-Source method for assessing national scientific and technological standing: with applications to Artificial Intelligence and machine learning
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Santa Monica, Calif.
RAND Corporation
[2022]
|
| Schriftenreihe: | Research reports
RR-A1482-3 |
| Online-Zugang: | Volltext |
| Beschreibung: | 1 Online-Ressource (19 Seiten) Diagramme, Karten |
| DOI: | 10.7249/RRA1482-3 |
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Datensatz im Suchindex
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T20:34:11Z |
| indexdate | 2024-08-29T00:20:05Z |
| institution | BVB |
| language | English |
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| publishDateSearch | 2022 |
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| spelling | Schmid, Jon Verfasser aut An Open-Source method for assessing national scientific and technological standing with applications to Artificial Intelligence and machine learning Jon Schmid Santa Monica, Calif. RAND Corporation [2022] 1 Online-Ressource (19 Seiten) Diagramme, Karten txt rdacontent c rdamedia cr rdacarrier Research reports RR-A1482-3 https://doi.org/10.7249/RRA1482-3 Verlag kostenfrei Volltext |
| spellingShingle | Schmid, Jon An Open-Source method for assessing national scientific and technological standing with applications to Artificial Intelligence and machine learning |
| title | An Open-Source method for assessing national scientific and technological standing with applications to Artificial Intelligence and machine learning |
| title_auth | An Open-Source method for assessing national scientific and technological standing with applications to Artificial Intelligence and machine learning |
| title_exact_search | An Open-Source method for assessing national scientific and technological standing with applications to Artificial Intelligence and machine learning |
| title_exact_search_txtP | An Open-Source method for assessing national scientific and technological standing with applications to Artificial Intelligence and machine learning |
| title_full | An Open-Source method for assessing national scientific and technological standing with applications to Artificial Intelligence and machine learning Jon Schmid |
| title_fullStr | An Open-Source method for assessing national scientific and technological standing with applications to Artificial Intelligence and machine learning Jon Schmid |
| title_full_unstemmed | An Open-Source method for assessing national scientific and technological standing with applications to Artificial Intelligence and machine learning Jon Schmid |
| title_short | An Open-Source method for assessing national scientific and technological standing |
| title_sort | an open source method for assessing national scientific and technological standing with applications to artificial intelligence and machine learning |
| title_sub | with applications to Artificial Intelligence and machine learning |
| url | https://doi.org/10.7249/RRA1482-3 |
| work_keys_str_mv | AT schmidjon anopensourcemethodforassessingnationalscientificandtechnologicalstandingwithapplicationstoartificialintelligenceandmachinelearning |