Abstract: Recent advances in artificial intelligence (AI) technology demonstrate a considerable potential to complement human capital intensive activities.
artificial intelligence research paper
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These features are: (a) the share of research tasks that AI can perform; (b) the productivity of AI at these heterogeneous research tasks; and ( ...
Abstract. The rise of Generative AI (GenAI) in knowledge workflows raises questions about its impact on critical thinking skills and practices.
In this paper, we study the adoption of a generative AI tool that provides conversational guidance for customer support agents.1 This is, to our knowledge ...
It is crucial to understand the intended uses of AI tools in journalism and newsrooms to uncover how they are currently being used and to inform future research ...
Researchers engage in varying degrees in adopting or developing AI tools for research, ranging from modifying off-the-shelf tools to developing ...
In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning.
by L Gao · 2023 · Cited by 92 — This paper presents a survey on recent advances and future prospects on interpretability of ML, with several application examples pertinent to ...
The studies and articles emphasized the potential for AI to substitute for human cognitive effort, just as machines substituted for physical labor during ...
The impact of generative AI on research and various aspects of the scientific process calls for reflection, for example, when working with text (summarising ...
This question addressed a fundamental assumption that a well- implemented approach to deeper learning can result in more and better opportunities to develop ...
Each year, deep learning demonstrates new and improved empirical results with deeper and wider neural networks. Meanwhile, with existing theoretical frame-.
The accessibility of generative AI tools could make it easier to whip up poor-quality papers and, at worst, compromise research integrity, says ...
This paper examines features of artificial Intelligence, introduction, definitions of AI, history, applications, growth and achievements. KEYWORDS- machine ...
By far the greatest danger of Artificial Intelligence is that people conclude too early that they understand it. Of course this problem is not limited to ...
We present a novel parallelisation scheme that simplifies the adaptation of learn- ing algorithms to growing amounts of data as well as growing needs for ...
The computational demands of deep learning applications in areas such as image classification, object detection, question answering, and machine translation ...
by AA Ginart · Cited by 915 — In this paper we initiate a framework studying what to do when it is no longer permissible to deploy models derivative from specific user data. In particular, ...
The past decade has seen tremendous progress in the field of artificial intelligence thanks to the resurgence of neural networks through deep learning.
The article examines the widespread adoption of deep learning across sectors including healthcare, automotive, and NLP, showcasing its potential ...
