AIMC Topic: Learning

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Information amount, accuracy, and relevance of generative artificial intelligence platforms’ answers regarding learning objectives of medical arthropodology evaluated in English and Korean queries in December 2023: a descriptive study.

Journal of educational evaluation for health professions Dec 28, 2023
PURPOSE: This study assessed the performance of 6 generative artificial intelligence (AI) platforms on the learning objectives of medical arthropodology in a parasitology class in Korea. We examined the AI platforms’ performance by querying in Korean...
Artificial Intelligence Language Learning Republic of Korea
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Local structure-aware graph contrastive representation learning.

Neural networks : the official journal of the International Neural Network Society Dec 27, 2023
Traditional Graph Neural Network (GNN), as a graph representation learning method, is constrained by label information. However, Graph Contrastive Learning (GCL) methods, which tackles the label problem effectively, mainly focus on the feature inform...
Neural Networks, Computer Learning Semantics
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Application of artificial intelligence chatbots, including ChatGPT, in education, scholarly work, programming, and content generation and its prospects: a narrative review.

Journal of educational evaluation for health professions Dec 27, 2023
This study aims to explore ChatGPT’s (GPT-3.5 version) functionalities, including reinforcement learning, diverse applications, and limitations. ChatGPT is an artificial intelligence (AI) chatbot powered by OpenAI’s Generative Pre-trained Transformer...
Humans Artificial Intelligence Software Learning Reproducibility of Results Educational Status
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Adversarially robust neural networks with feature uncertainty learning and label embedding.

Neural networks : the official journal of the International Neural Network Society Dec 26, 2023
Deep neural networks (DNNs) are vulnerable to the attacks of adversarial examples, which bring serious security risks to the learning systems. In this paper, we propose a new defense method to improve the adversarial robustness of DNNs based on stoch...
Neural Networks, Computer Learning Semantics Uncertainty
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Dynamic mutual predictions during social learning: A computational and interbrain model.

Neuroscience and biobehavioral reviews Dec 21, 2023
During social interactions, we constantly learn about the thoughts, feelings, and personality traits of our interaction partners. Learning in social interactions is critical for bond formation and acquiring knowledge. Importantly, this type of learni...
Humans Neural Networks, Computer Learning Social Learning Diencephalon
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AI is transforming how science is done. Science education must reflect this change.

Science (New York, N.Y.) Dec 21, 2023
There is growing interest in the use of artificial intelligence (AI) in science education. Many issues and questions raised about the role of AI in science education target primarily science learning objectives. They relate to AI's capacity to genera...
Humans Artificial Intelligence Learning Child, Preschool Child Schools Science
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Artificial Tactile Perception System Based on Spiking Tactile Neurons and Spiking Neural Networks.

ACS applied materials & interfaces Dec 20, 2023
The artificial tactile perception system of this work utilizes a fully connected spiking neural network (SNN) comprising two layers. Its architecture is streamlined and energy-efficient as it directly integrates spiking tactile neurons with piezoresi...
Neural Networks, Computer Learning Neurons Touch Touch Perception
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Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning.

Scientific reports Dec 19, 2023
Developing robust artificial intelligence (AI) models that generalize well to unseen datasets is challenging and usually requires large and variable datasets, preferably from multiple institutions. In federated learning (FL), a model is trained colla...
Artificial Intelligence Learning Reproducibility of Results Radiography Generalization, Psychological
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Considering the Secondary Use of Clinical and Educational Data to Facilitate the Development of Artificial Intelligence Models.

Academic medicine : journal of the Association of American Medical Colleges Dec 18, 2023
Medical training programs and health care systems collect ever-increasing amounts of educational and clinical data. These data are collected with the primary purpose of supporting either trainee learning or patient care. Well-established principles g...
Humans Artificial Intelligence Learning Educational Status Education, Medical Program Evaluation
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Meta-structure-based graph attention networks.

Neural networks : the official journal of the International Neural Network Society Dec 14, 2023
Due to the ubiquity of graph-structured data, Graph Neural Network (GNN) have been widely used in different tasks and domains and good results have been achieved in tasks such as node classification and link prediction. However, there are still many ...
Neural Networks, Computer Software Learning Semantics
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