Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Talal Rahwan"'
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-16 (2024)
Abstract Over two-thirds of the U.S. population uses YouTube, and a quarter of U.S. adults regularly receive their news from it. Despite the massive political content available on the platform, to date, no classifier has been proposed to classify the
Externí odkaz:
https://doaj.org/article/ec8e57b71f3148528bad5d4a25358bd0
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract As robots become increasingly integrated into social economic interactions, it becomes crucial to understand how people perceive a robot’s mind. It has been argued that minds are perceived along two dimensions: experience, i.e., the abilit
Externí odkaz:
https://doaj.org/article/94f1b9376a0d4567abcec178ad206eab
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-8 (2023)
Abstract Attribute inference—the process of analyzing publicly available data in order to uncover hidden information—has become a major threat to privacy, given the recent technological leap in machine learning. One way to tackle this threat is t
Externí odkaz:
https://doaj.org/article/29301ead6999456b9ac3f595682fe729
Autor:
Hazem Ibrahim, Fengyuan Liu, Rohail Asim, Balaraju Battu, Sidahmed Benabderrahmane, Bashar Alhafni, Wifag Adnan, Tuka Alhanai, Bedoor AlShebli, Riyadh Baghdadi, Jocelyn J. Bélanger, Elena Beretta, Kemal Celik, Moumena Chaqfeh, Mohammed F. Daqaq, Zaynab El Bernoussi, Daryl Fougnie, Borja Garcia de Soto, Alberto Gandolfi, Andras Gyorgy, Nizar Habash, J. Andrew Harris, Aaron Kaufman, Lefteris Kirousis, Korhan Kocak, Kangsan Lee, Seungah S. Lee, Samreen Malik, Michail Maniatakos, David Melcher, Azzam Mourad, Minsu Park, Mahmoud Rasras, Alicja Reuben, Dania Zantout, Nancy W. Gleason, Kinga Makovi, Talal Rahwan, Yasir Zaki
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract The emergence of large language models has led to the development of powerful tools such as ChatGPT that can produce text indistinguishable from human-generated work. With the increasing accessibility of such technology, students across the
Externí odkaz:
https://doaj.org/article/a6143f2fd5e34aaaad35420a046e6a19
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)
Abstract With the progress of artificial intelligence and the emergence of global online communities, humans and machines are increasingly participating in mixed collectives in which they can help or hinder each other. Human societies have had thousa
Externí odkaz:
https://doaj.org/article/7b727def824043458923bea8a532443e
Autor:
Hossam M. Abdelghaffar, Moumena Chaqfeh, Nadja Fejzic, Talal Rahwan, Yasir Zaki, Monica Menendez
Publikováno v:
IEEE Access, Vol 11, Pp 25455-25466 (2023)
The number of Autonomous Vehicles (AVs) coexisting with conventional human-driven vehicles is expected to increase significantly in the coming years. This coexistence will last decades before full AV adoption is achieved worldwide. However, the cauti
Externí odkaz:
https://doaj.org/article/73602655a089475db226f195c4f6f273
Autor:
Balaraju Battu, Talal Rahwan
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract A fundamental question in social and biological sciences is whether self-governance is possible when individual and collective interests are in conflict. Free riding poses a major challenge to self-governance, and a prominent solution to thi
Externí odkaz:
https://doaj.org/article/cb16ebd98d76425393afa5b0e0aa4d13
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract As the COVID-19 pandemic has demonstrated, identifying the origin of a pandemic remains a challenging task. The search for patient zero may benefit from the widely-used and well-established toolkit of contact tracing methods, although this p
Externí odkaz:
https://doaj.org/article/7e196be26aa54634a01fcbfab802424c
Autor:
Bedoor AlShebli, Enshu Cheng, Marcin Waniek, Ramesh Jagannathan, Pablo Hernández-Lagos, Talal Rahwan
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Nations worldwide are mobilizing to harness the power of Artificial Intelligence (AI) given its massive potential to shape global competitiveness over the coming decades. Using a dataset of 2.2 million AI papers, we study inter-city citation
Externí odkaz:
https://doaj.org/article/5c4183908a024493bba028862566e627
Autor:
Hazem Ibrahim, Fengyuan Liu, Rohail Asim, Balaraju Battu, Sidahmed Benabderrahmane, Bashar Alhafni, Wifag Adnan, Tuka Alhanai, Bedoor AlShebli, Riyadh Baghdadi, Jocelyn J. Bélanger, Elena Beretta, Kemal Celik, Moumena Chaqfeh, Mohammed F. Daqaq, Zaynab El Bernoussi, Daryl Fougnie, Borja Garcia de Soto, Alberto Gandolfi, Andras Gyorgy, Nizar Habash, J. Andrew Harris, Aaron Kaufman, Lefteris Kirousis, Korhan Kocak, Kangsan Lee, Seungah S. Lee, Samreen Malik, Michail Maniatakos, David Melcher, Azzam Mourad, Minsu Park, Mahmoud Rasras, Alicja Reuben, Dania Zantout, Nancy W. Gleason, Kinga Makovi, Talal Rahwan, Yasir Zaki
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/c15b0814ec9a486f8393a68fa4d18f45