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ChatGPT and Generative AI in IT Processes [PDF]
, 2023 The research question is how to use generative AI, specifically ChatGPT, to improve IT processes. This research will explore the various ways in which ChatGPT can be used to improve IT processes, including automating tasks, reducing manual labor, and ...
Ma, Chuan
core
, 2023 In the revision of treatments of contemporary art in the 21st century art historians are recognizing 2022 as the dawn of the age of creative artificial intelligence AI The emergence of generative AI tools like ChatGPT and Stable Diffusion in late ...
Morgan Harper-Nichols, James Hutson
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Developing a theory-grounded AI tool for the generation of culturally responsive lesson plans
Computers and Education: Artificial IntelligenceAs educators begin using Generative AI (GenAI) for lesson planning, they often encounter generated content that fails to consider the classroom's cultural context.
Matthew Nyaaba, Xiaoming Zhai
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How generative AI supports human in conceptual design
Design ScienceGenerative Artificial Intelligence (Generative AI) is a collection of AI technologies that can generate new information such as texts and images. With its strong capabilities, Generative AI has been actively studied in creative design processes. However,
Liuqing Chen +5 more
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Generative AI and Learning Analytics
Journal of Learning Analytics, 2023 This editorial looks back at the Journal of Learning Analytics (JLA) in 2023 and forward to 2024. Considering the recent proliferation of large language models such as GPT4 and Bard, the first section of this editorial points to the need for robust Generative AI (GenAI) analytics, calling for consideration of how GenAI may impact learning analytics ...
Hassan Khosravi +3 more
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A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho +7 more
wiley +1 more source
SIGNAL: Dataset for Semantic and Inferred Grammar Neurological Analysis of Language
Scientific DataRecently, the idea of brain-model alignment has been the topic of several influential works. However, most of previous studies were based on datasets collected during regular reading tasks where the subjects were not exposed to processing linguistic ...
Anna Komissarenko +5 more
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IEEE AccessAs ChatGPT has evolved, generative AI (Artificial Intelligence) has gone viral on the internet since 2022. Heated discussions on generative AI have appeared in both social media and academic field, generating massive textual data.
Wenchao Zhang, Ruonan Yan, Lei Yuan
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Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation
FEBS Letters, EarlyView.Sorbitol‐induced hyperosmotic stress rapidly induces reversible mono(ADP‐ribosyl)ation (MARylation) on PARP1 without the signs of genotoxic signaling. We show that PARP1 autoMARylation is HPF1 dependent and forms hydroxylamine‐resistant O‐glycosidic linkages.
Anna Georgina Kopasz +11 more
wiley +1 more source
AI generations: from AI 1.0 to AI 4.0
Frontiers in Artificial IntelligenceThis paper proposes that Artificial Intelligence (AI) progresses through several overlapping generations: AI 1.0 (Information AI), AI 2.0 (Agentic AI), AI 3.0 (Physical AI), and a speculative AI 4.0 (Conscious AI). Each AI generation is driven by shifting priorities among algorithms, computing power, and data.
Jiahao Wu, Hengxu You, Jing Du 0001
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