Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Dewey Murdick"'
Autor:
Dewey Murdick
Publikováno v:
Nature. 611(7935)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a774760f91ffec8bf6293a828746ca5e
https://pubmed.ncbi.nlm.nih.gov/36347961
https://pubmed.ncbi.nlm.nih.gov/36347961
Foretell is CSET's crowd forecasting pilot project focused on technology and security policy. It connects historical and forecast data on near-term events with the big-picture questions that are most relevant to policymakers. This issue brief uses re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7adb8975fade68d194cecde045a7ac1b
https://doi.org/10.51593/20200093
https://doi.org/10.51593/20200093
Autor:
Patrick Thomas, Dewey Murdick
Patent data can provide insights into the most active countries, fields and organizations in artificial intelligence research. This data brief analyzes worldwide trends in AI patenting to offer metrics on inventive activity.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfc103a184fbfbfe0cd69cb5be6ef1a6
https://doi.org/10.51593/20200038
https://doi.org/10.51593/20200038
Autor:
William C. Hannas, Melissa Flagg, Tarun Chhabra, Ryan Fedasiuk, Zachary Arnold, Anna B. Puglisi, Remco Zwetsloot, Saif Khan, Andrew Imbrie, Dewey Murdick, Carrick Flynn
CSET has prepared policy recommendations for the next presidential administration to consider in five areas key to U.S. leadership in artificial intelligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d0ebd2afe849a41d44983293aeb3d24
https://doi.org/10.51593/20200046
https://doi.org/10.51593/20200046
Autor:
Lucy Lu, Wang, Kyle, Lo, Yoganand, Chandrasekhar, Russell, Reas, Jiangjiang, Yang, Doug, Burdick, Darrin, Eide, Kathryn, Funk, Yannis, Katsis, Rodney, Kinney, Yunyao, Li, Ziyang, Liu, William, Merrill, Paul, Mooney, Dewey, Murdick, Devvret, Rishi, Jerry, Sheehan, Zhihong, Shen, Brandon, Stilson, Alex, Wade, Kuansan, Wang, Nancy Xin Ru, Wang, Chris, Wilhelm, Boya, Xie, Douglas, Raymond, Daniel S, Weld, Oren, Etzioni, Sebastian, Kohlmeier
Publikováno v:
ArXiv
The COVID-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on COVID-19 and related historical coronavirus research. CORD-19 is designed to facilitate the development of text mining and information retrieval systems over i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0b1574da53920e5d5bae9bc506a71bd