AIMC Topic: Knowledge

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Exploring the Dilemma of AI Use in Medical Research and Knowledge Synthesis: A Perspective on Deep Research Tools.

Journal of medical Internet research Jul 15, 2025
Advances in artificial intelligence (AI) promise to reshape the landscape of scientific inquiry. Amidst all these, OpenAI's latest tool, Deep Research, stands out for its potential to revolutionize how researchers engage with the literature. However,...
Knowledge Artificial Intelligence Biomedical Research Humans
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Deep learning based knowledge tracing in intelligent tutoring systems.

Scientific reports Jul 1, 2025
The emergence of online education, e.g., intelligent tutoring system (ITS), complements or partially replaces conventional offline education, especially during the COVID-19 pandemic. Knowledge tracing (KT) plays a pivotal role in the intelligent tuto...
Humans Neural Networks, Computer Deep Learning Knowledge COVID-19 SARS-CoV-2 Education, Distance
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Tailored knowledge distillation with automated loss function learning.

PloS one Jun 11, 2025
Knowledge Distillation (KD) is one of the most effective and widely used methods for model compression of large models. It has achieved significant success with the meticulous development of distillation losses. However, most state-of-the-art KD loss...
Knowledge Distillation Neural Networks, Computer Machine Learning Algorithms Learning Humans
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Classroom network structure learning engagement and parallel temporal attention LSTM based knowledge tracing.

PloS one Apr 7, 2025
In order to accurately assess the students' learning process and the cognitive state of knowledge points in smart classroom. A classroom network structure learning engagement and parallel temporal attention LSTM based knowledge tracing model (CL-PTKT...
Knowledge Learning Students Schools Attention Neural Networks, Computer Algorithms Humans
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Boosting semi-supervised federated learning by effectively exploiting server-side knowledge and client-side unconfident samples.

Neural networks : the official journal of the International Neural Network Society Apr 4, 2025
Semi-supervised federated learning (SSFL) has emerged as a promising paradigm to reduce the need for fully labeled data in training federated learning (FL) models. This paper focuses on the label-at-server scenario, where clients' data are entirely u...
Knowledge Federated Learning Neural Networks, Computer Algorithms Supervised Machine Learning
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Neighborhood relation-based knowledge distillation for image classification.

Neural networks : the official journal of the International Neural Network Society Apr 1, 2025
As an efficient model compression method, recent knowledge distillation methods primarily transfer the knowledge from a large teacher model to a small student model by minimizing the differences between the predictions from teacher and student. Howev...
Humans Knowledge Neural Networks, Computer Distillation Algorithms Image Processing, Computer-Assisted
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Bridging the human-AI knowledge gap through concept discovery and transfer in AlphaZero.

Proceedings of the National Academy of Sciences of the United States of America Mar 26, 2025
AI systems have attained superhuman performance across various domains. If the hidden knowledge encoded in these highly capable systems can be leveraged, human knowledge and performance can be advanced. Yet, this internal knowledge is difficult to ex...
Knowledge Humans Artificial Intelligence
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The need for epistemic humility in AI-assisted pain assessment.

Medicine, health care, and philosophy Mar 15, 2025
It has been difficult historically for physicians, patients, and philosophers alike to quantify pain given that pain is commonly understood as an individual and subjective experience. The process of measuring and diagnosing pain is often a fraught an...
Knowledge Pain Management Humans Artificial Intelligence Trust Pain Measurement
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AI anxiety and knowledge payment: the roles of perceived value and self-efficacy.

BMC psychology Mar 6, 2025
BACKGROUND: The integration of Artificial Intelligence (AI) into daily life raises significant challenges and uncertainties, notably concerning job security and skill relevance. This has led to the emergence of 'AI anxiety'-a stress response to poten...
Female Young Adult Adult Male Humans Artificial Intelligence Middle Aged Anxiety Self Efficacy Knowledge
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Hermeneutics as impediment to AI in medicine.

Theoretical medicine and bioethics Feb 26, 2025
Predictions that artificial intelligence (AI) will become capable of replacing human beings in domains such as medicine rest implicitly on a theory of mind according to which knowledge can be captured propositionally without loss of meaning. Generati...
Artificial Intelligence Knowledge Humans Hermeneutics Philosophy, Medical
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