Results 21 to 30 of about 5,292,494 (371)

AI for AI: Using AI methods for classifying AI science documents

open access: yesQuantitative Science Studies, 2022
Abstract Subject area classification is an important first phase in the entire process involved in bibliometrics. In this paper, we explore the possibility of using automated algorithms for classifying scientific papers related to Artificial Intelligence at the document level.
Evi Sachini   +3 more
openaire   +2 more sources

Human Creativity and Artificial Intelligence (AI): Two Distinct Requirements for Sustainable Competitive Advantage [PDF]

open access: yesWestcliff International Journal of Applied Research, 2018
Increasing competition among industries requires them to be intelligent in order to make their best decisions and remain competitive in the market. Nowadays both human and artificial intelligence have made many contributions to this purpose and have ...
Nima S. Salami
doaj   +1 more source

Governance of the AI, by the AI, and for the AI

open access: yes, 2023
20 ...
Torrance, Andrew W., Tomlinson, Bill
openaire   +2 more sources

From ”Explainable AI” to ”Graspable AI”

open access: yesProceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction, 2021
Since the advent of Artificial Intelligence (AI) and Machine Learning (ML), researchers have asked how intelligent computing systems could interact with and relate to their users and their surroundings, leading to debates around issues of biased AI systems, ML black-box, user trust, user’s perception of control over the system, and system’s ...
Ghajargar, Maliheh   +7 more
openaire   +7 more sources

Conversion from MRI to CT Using AI for Fractures

open access: yesJournal of the Belgian Society of Radiology, 2021
Synthetic CT images reconstructed from MR images is an upcoming artificial intelligence (AI) tool for radiologists. It has been validated for detection of erosions at the sacroiliac joints and validation for other applications is ongoing – with high ...
Frederiek Laloo, Lennart Jans
doaj   +1 more source

Permeability and selectivity prediction of poly (4-methyl 1-pentane) membrane modified by nanoparticles in gas separation through artificial intelligent systems [PDF]

open access: yesPolyolefins Journal, 2020
In this work, the effects of operative parameters on CH4, CO2, O2, and N2 membrane gas separation for poly (4-methyl-1-pentane) (PMP) membrane modified by adding nanoparticles of TiO2, ZnO, and Al2O3 are assessed and investigated.
Afshar Alihosseini   +1 more
doaj   +1 more source

AI Training Datasets & Article 14 GDPR: A Risk Assessment for the Proportionality Exemption of the Obligation to Provide Information

open access: yesRevista de Direito, Estado e Telecomunicações, 2021
[Purpose] At the earliest stages in AI lifecycle, training, verification and validation of machine learning and deep learning algorithm require vast datasets that usually contain personal data, which however is not obtained directly from the data subject,
Iakovina Kindylidi   +1 more
doaj   +1 more source

Generative AI at Work [PDF]

open access: yesSocial Science Research Network, 2023
We study the staggered introduction of a generative AI–based conversational assistant using data from 5,172 customer-support agents. Access to AI assistance increases worker productivity, as measured by issues resolved per hour, by 15% on average, with
Erik Brynjolfsson   +2 more
semanticscholar   +1 more source

Induction and formation of accessory corpus luteum after artificial insemination (AI) might increase pregnancy rate per AI in heat stressed dairy cows

open access: yesMacedonian Veterinary Review, 2020
The present study aimed to evaluate whether the induction and the formation of an accessory corpus luteum (CL) after AI might increase the pregnancy per AI (P/AI) in heat stressed dairy cows.
Boris Stojanov   +9 more
doaj   +1 more source

MEGA: Multilingual Evaluation of Generative AI [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2023
Generative AI models have shown impressive performance on many Natural Language Processing tasks such as language understanding, reasoning, and language generation. An important question being asked by the AI community today is about the capabilities and
Kabir Ahuja   +11 more
semanticscholar   +1 more source

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