AIMC Topic: Knowledge

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Inductive reasoning with type-constrained encoding for emerging entities.

Neural networks : the official journal of the International Neural Network Society Jun 19, 2024
Knowledge graph reasoning, vital for addressing incompleteness and supporting applications, faces challenges with the continuous growth of graphs. To address this challenge, several inductive reasoning models for encoding emerging entities have been ...
Machine Learning Algorithms Humans Neural Networks, Computer Semantics Knowledge Computer Simulation
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Self-architectural knowledge distillation for spiking neural networks.

Neural networks : the official journal of the International Neural Network Society Jun 19, 2024
Spiking neural networks (SNNs) have attracted attention due to their biological plausibility and the potential for low-energy applications on neuromorphic hardware. Two mainstream approaches are commonly used to obtain SNNs, i.e., ANN-to-SNN conversi...
Knowledge Humans Models, Neurological Neural Networks, Computer Machine Learning Action Potentials Algorithms
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Artificial Intelligence in Otolaryngology: Topics in Epistemology & Ethics.

Otolaryngologic clinics of North America Jun 4, 2024
To fuel artificial intelligence (AI) potential in clinical practice in otolaryngology, researchers must understand its epistemic limitations, which are tightly linked to ethical dilemmas requiring careful consideration. AI tools are fundamentally opa...
Humans Knowledge Otolaryngology Artificial Intelligence Reproducibility of Results
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KEMoS: A knowledge-enhanced multi-modal summarizing framework for Chinese online meetings.

Neural networks : the official journal of the International Neural Network Society May 31, 2024
The demand for "online meetings" and "collaborative office work" keeps surging recently, producing an abundant amount of relevant data. How to provide participants with accurate and fast summarizing service has attracted extensive attention. Existing...
Knowledge Videoconferencing East Asian People Semantics Cluster Analysis Humans Neural Networks, Computer Algorithms China
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GELT: A graph embeddings based lite-transformer for knowledge tracing.

PloS one May 7, 2024
The development of intelligent education has led to the emergence of knowledge tracing as a fundamental task in the learning process. Traditionally, the knowledge state of each student has been determined by assessing their performance in previous le...
Deep Learning Neural Networks, Computer Algorithms Knowledge Humans
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The consequences of generative AI for online knowledge communities.

Scientific reports May 6, 2024
Generative artificial intelligence technologies, especially large language models (LLMs) like ChatGPT, are revolutionizing information acquisition and content production across a variety of domains. These technologies have a significant potential to ...
Internet Knowledge Language Humans Artificial Intelligence
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Building a house without foundations? A 24-country qualitative interview study on artificial intelligence in intensive care medicine.

BMJ health & care informatics Apr 19, 2024
OBJECTIVES: To explore the views of intensive care professionals in high-income countries (HICs) and lower-to-middle-income countries (LMICs) regarding the use and implementation of artificial intelligence (AI) technologies in intensive care units (I...
Intensive Care Units Qualitative Research Critical Care Knowledge Humans Artificial Intelligence
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Leveraging transfer learning with deep learning for crime prediction.

PloS one Apr 17, 2024
Crime remains a crucial concern regarding ensuring a safe and secure environment for the public. Numerous efforts have been made to predict crime, emphasizing the importance of employing deep learning approaches for precise predictions. However, suff...
Crime Chicago Knowledge Neural Networks, Computer Deep Learning
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TNCB: Tri-Net With Cross-Balanced Pseudo Supervision for Class Imbalanced Medical Image Classification.

IEEE journal of biomedical and health informatics Apr 4, 2024
In clinical settings, the implementation of deep neural networks is impeded by the prevalent problems of label scarcity and class imbalance in medical images. To mitigate the need for labeled data, semi-supervised learning (SSL) has gained traction. ...
Supervised Machine Learning Humans Knowledge Neural Networks, Computer
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AI technology specialization and national competitiveness.

PloS one Apr 4, 2024
This study investigates the factors influencing specialization in artificial intelligence (AI) technology, a critical element of national competitiveness. We utilized a revealed comparative advantage matrix to evaluate technological specialization ac...
Knowledge Logistic Models Artificial Intelligence Industry Technology
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