Zobrazeno 1 - 10
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pro vyhledávání: '"Oren, Etzioni"'
Autor:
Amitai Etzioni
Publikováno v:
Library of Public Policy and Public Administration ISBN: 9783319696225
As Artificial Intelligence technology seems poised for a major take-off and changing societal dynamics are creating a high demand for caregivers for elders, children, and those infirmed, AI-based robotic caregivers may well be used much more often. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::569ffac26c870f1d7031599048fc5ec3
https://doi.org/10.1007/978-3-319-69623-2_17
https://doi.org/10.1007/978-3-319-69623-2_17
Autor:
Amitai Etzioni
Publikováno v:
Library of Public Policy and Public Administration ISBN: 9783319696225
As technology progresses and autonomous weapons increasingly become a reality rather than mere science fiction, an ethical debate has developed surrounding the use of such weapons, which operate with little or no human oversight. Some view the use of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::157a68f740f1130fbcf53ccc3a345dc0
https://doi.org/10.1007/978-3-319-69623-2_16
https://doi.org/10.1007/978-3-319-69623-2_16
Akademický článek
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Autor:
Michael Cafarella, Michael Anderson, Iz Beltagy, Arie Cattan, Sarah Chasins, Ido Dagan, Doug Downey, Oren Etzioni, Sergey Feldman, Tian Gao, Tom Hope, Kexin Huang, Sophie Johnson, Daniel King, Kyle Lo, Yuze Lou, Matthew Shapiro, Dinghao Shen, Shivashankar Subramanian, Lucy Lu Wang, Yuning Wang, Yitong Wang, Daniel S. Weld, Jenny Vo‐Phamhi, Anna Zeng, Jiayun Zou
Publikováno v:
AI Magazine; Vol. 43 No. 1: Spring 2022; 59-68
The past decade has witnessed a growth in the use of knowledge graph technologies for advanced data search, data integration, and query-answering applications. The leading example of a public, general-purpose open knowledge network (aka knowledge gra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3eb7fb8700627d9bbcf14b111818bcc
https://doi.org/10.1609/aimag.v43i1.19126
https://doi.org/10.1609/aimag.v43i1.19126
Publikováno v:
Communications of the ACM. 64:78-84
A large-scale, up-to-date analysis of Computer Science literature (11.8M papers through 2019) reveals that, if trends from the last 50 years continue, parity between the number of male and female authors will not be reached in this century. In contra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5941f4c1917794c1236112e34ff87915
https://doi.org/10.1145/3430803
https://doi.org/10.1145/3430803
Autor:
Peter Clark, Oren Etzioni, Tushar Khot, Daniel Khashabi, Bhavana Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam, Dirk Groeneveld, Michal Guerquin, Michael Schmitz
Publikováno v:
AI Magazine; Vol. 41 No. 4: Winter 2020; 39-53
AI has achieved remarkable mastery over games such as Chess, Go, and Poker, and even Jeopardy!, but the rich variety of standardized exams has remained a landmark challenge. Even as recently as 2016, the best AI system could achieve merely 59.3 perce
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12cbde13be63af9598aada27d315ba3f
https://doi.org/10.1609/aimag.v41i4.5304
https://doi.org/10.1609/aimag.v41i4.5304
Publikováno v:
Communications of the ACM. 63:54-63
Creating efficiency in AI research will decrease its carbon footprint and increase its inclusivity as deep learning study should not require the deepest pockets.
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https://explore.openaire.eu/search/publication?articleId=doi_________::940dceb7a72b35faa7cb59a805981421
https://doi.org/10.1145/3381831
https://doi.org/10.1145/3381831
Autor:
Oren Etzioni
Publikováno v:
The Monochrome Society
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51efefd364748fbc0d2ff594e0280482
https://doi.org/10.2307/j.ctv19fvxxk.8
https://doi.org/10.2307/j.ctv19fvxxk.8
Autor:
Oren Etzioni
Publikováno v:
FODS
This talk will describe the dramatic creation of the COVID-19 Open Research Dataset (CORD-19) at the Allen Institute for AI and the broad range of efforts, both inside and outside of the Semantic Scholar project, to garner insights into COVID-19 and
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https://explore.openaire.eu/search/publication?articleId=doi_________::42c3e35b4cc370694fc5498d511fad94
https://doi.org/10.1145/3412815.3416880
https://doi.org/10.1145/3412815.3416880
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