Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Oren, Etzioni"'
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
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
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
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.
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
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
Autor:
Amitai Etzioni, Oren Etzioni
Publikováno v:
Interaction Studies. 18:174-190
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, robotic caregivers may well be used much more often. This artic
Autor:
Oren Etzioni, Amitai Etzioni
Publikováno v:
The Journal of Ethics. 21:403-418
This article reviews the reasons scholars hold that driverless cars and many other AI equipped machines must be able to make ethical decisions, and the difficulties this approach faces. It then shows that cars have no moral agency, and that the term
Autor:
Oren Etzioni
Publikováno v:
Communications of the ACM. 61:30-32
Considering the difficult technical and sociological issues affecting the regulation of artificial intelligence research and applications.