Results 21 to 30 of about 5,733,203 (365)
AI for AI: Using AI methods for classifying AI science documents
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
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Human Creativity and Artificial Intelligence (AI): Two Distinct Requirements for Sustainable Competitive Advantage [PDF]
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
Sustainable AI: AI for sustainability and the sustainability of AI [PDF]
AbstractWhile there is a growing effort towards AI for Sustainability (e.g. towards the sustainable development goals) it is time to move beyond that and to address the sustainability of developing and using AI systems. In this paper I propose a definition of Sustainable AI; Sustainable AI is a movement to foster change in the entire lifecycle of AI ...
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Sensemaking Practices in the Everyday Work of AI/ML Software Engineering [PDF]
This paper considers sensemaking as it relates to everyday software engineering (SE) work practices and draws on a multi-year ethnographic study of SE projects at a large, global technology company building digital services infused with artificial ...
Book Matthias +4 more
core +1 more source
Managerial Future of the Artificial Intelligence
The developed concept for Artificial Intelligence (AI) introduction to the management system is concerned with a range of ethical, social, environmental and legal issues.
Iryna Nyenno +2 more
doaj +1 more source
Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts
Pre-trained large language models (“LLMs”) like GPT-3 can engage in fluent, multi-turn instruction-taking out-of-the-box, making them attractive materials for designing natural language interactions.
J.D. Zamfirescu-Pereira +3 more
semanticscholar +1 more source
AI vs. AI: Can AI Detect AI-Generated Images?
The proliferation of Artificial Intelligence (AI) models such as Generative Adversarial Networks (GANs) has shown impressive success in image synthesis. Artificial GAN-based synthesized images have been widely spread over the Internet with the advancement in generating naturalistic and photo-realistic images.
Samah S. Baraheem, Tam V. Nguyen
openaire +3 more sources
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
Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation [PDF]
Comprehensive clinical documentation is crucial for effective healthcare delivery, yet it poses a significant burden on healthcare professionals, leading to burnout, increased medical errors, and compromised patient safety.
Anjanava Biswas, Wrick Talukdar
semanticscholar +1 more source
From Emotion AI to Cognitive AI
Survey/review study From Emotion AI to Cognitive AI Guoying Zhao *, Yante Li , and Qianru Xu University of Oulu, Pentti Kaiteran Katu 1, Linnanmaa 90570, Finland * Correspondence: guoying.zhao@oulu.fi Received: 22 September 2022 Accepted: 28 November 2022 Published: 22 December 2022 Abstract: Cognitive computing is recognized as the next era ...
Zhao, G. (Guoying) +2 more
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