Results 11 to 20 of about 318,460 (275)
Towards automated metaphase cell detection using foundation models: A SAM and DINO-based approach
Engineering Science and Technology, an International JournalKaryotyping is a widely used laboratory technique to detect abnormalities in chromosomes. Karyotyping consists of many steps, including collecting samples, cell culturing and metaphase cell detection.
M. Cihad Arslanoglu +2 more
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Acta PsychologicaGenerative AI has garnered global attention. This study aims to explore the association between generative AI self-efficacy and generative AI acceptance among university students and underlying mechanisms. A sample of 353 university students in China was
Gen Zhang, Tingrong Yu
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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
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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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Irish Journal of Technology Enhanced Learning, 2023 This paper investigates the potential use of generative AI in ESL Writing Assessment, particularly in IELTS Writing Tasks. The first part introduces the author’s relationship with generative AI in the educational setting, and why the author chooses this
Tianhe Sun
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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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Pediatric Blood &Cancer, EarlyView.ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser +6 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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Molecular bases of circadian magnesium rhythms across eukaryotes
FEBS Letters, EarlyView.Circadian rhythms in intracellular [Mg2+] exist across eukaryotic kingdoms. Central roles for Mg2+ in metabolism suggest that Mg2+ rhythms could regulate daily cellular energy and metabolism. In this Perspective paper, we propose that ancestral prokaryotic transport proteins could be responsible for mediating Mg2+ rhythms and posit a feedback model ...
Helen K. Feord, Gerben van Ooijen
wiley +1 more source