AIMC Topic: Learning
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Examining ChatGPT Performance on USMLE Sample Items and Implications for Assessment.
Academic medicine : journal of the Association of American Medical Colleges
Nov 7, 2023
PURPOSE: In late 2022 and early 2023, reports that ChatGPT could pass the United States Medical Licensing Examination (USMLE) generated considerable excitement, and media response suggested ChatGPT has credible medical knowledge. This report analyzes...
Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology.
Medical image analysis
Nov 7, 2023
The escalating demand for artificial intelligence (AI) systems that can monitor and supervise human errors and abnormalities in healthcare presents unique challenges. Recent advances in vision-language models reveal the challenges of monitoring AI by...
Leveraging spatial residual attention and temporal Markov networks for video action understanding.
Neural networks : the official journal of the International Neural Network Society
Oct 31, 2023
The effective use of temporal relationships while extracting fertile spatial features is the key to video action understanding. Video action understanding is a challenging visual task because it generally necessitates not only the features of individ...
The development of robotics courses for young children under vector space model.
PloS one
Oct 30, 2023
Robotics education is important in training children's thinking, practical, and innovation abilities. It is significant to stimulate children's interest in learning and improve their learning quality. The existing research has not paid attention to t...
Entity Summarization via Exploiting Description Complementarity and Salience.
IEEE transactions on neural networks and learning systems
Oct 27, 2023
Entity summarization is a novel and efficient way to understand real-world facts and solve the increasing information overload problem in large-scale knowledge graphs (KG). Existing studies mainly rely on ranking independent entity descriptions as a ...
Multi-scale feature selection network for lightweight image super-resolution.
Neural networks : the official journal of the International Neural Network Society
Oct 26, 2023
Recently, many super-resolution (SR) methods based on convolutional neural networks (CNNs) have achieved superior performance by utilizing deep and heavy models, which may not be suitable for real-world low-budget devices. To address this issue, we p...
Playing Brains: The Ethical Challenges Posed by Silicon Sentience and Hybrid Intelligence in DishBrain.
Science and engineering ethics
Oct 26, 2023
The convergence of human and artificial intelligence is currently receiving considerable scholarly attention. Much debate about the resulting Hybrid Minds focuses on the integration of artificial intelligence into the human brain through intelligent ...
Analysis of learning the bimanual control of (tele)operating joint space controlled robotic arms with 4 degrees of freedom using the two-timescales power law of learning.
Ergonomics
Oct 25, 2023
Training costs for operators of robotic arms in forestry and construction are high. A systematic analysis of skill development can help to make training more efficient. This research focuses on motor skill development by investigating the bimanual co...
Joint triplet loss with semi-hard constraint for data augmentation and disease prediction using gene expression data.
Scientific reports
Oct 24, 2023
The accurate prediction of patients with complex diseases, such as Alzheimer's disease (AD), as well as disease stages, including early- and late-stage cancer, is challenging owing to substantial variability among patients and limited availability of...
Exploring the potential of eye tracking on personalized learning and real-time feedback in modern education.
Progress in brain research
Oct 24, 2023
Eye tracking is one of the techniques used to investigate cognitive mechanisms involved in the school context, such as joint attention and visual perception. Eye tracker has portability, straightforward application, cost-effectiveness, and infant-fri...
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