AIMC Topic: Learning

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Understanding Human Cognition Through Computational Modeling.

Topics in cognitive science May 23, 2024
One important goal of cognitive science is to understand the mind in terms of its representational and computational capacities, where computational modeling plays an essential role in providing theoretical explanations and predictions of human behav...
Visual Perception Cognition Attention Neural Networks, Computer Humans Learning Artificial Intelligence Computer Simulation Eye Movements
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Providing insights into health data science education through artificial intelligence.

BMC medical education May 23, 2024
BACKGROUND: Health Data Science (HDS) is a novel interdisciplinary field that integrates biological, clinical, and computational sciences with the aim of analysing clinical and biological data through the utilisation of computational methods. Trainin...
Humans Learning Data Science Artificial Intelligence Curriculum
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School-age children are more skeptical of inaccurate robots than adults.

Cognition May 18, 2024
We expect children to learn new words, skills, and ideas from various technologies. When learning from humans, children prefer people who are reliable and trustworthy, yet children also forgive people's occasional mistakes. Are the dynamics of childr...
Age Factors Robotics Child Development Child, Preschool Child Female Young Adult Male Trust Adult Humans Learning
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Comparing and assessing four AI chatbots' competence in economics.

PloS one May 8, 2024
Artificial Intelligence (AI) chatbots have emerged as powerful tools in modern academic endeavors, presenting both opportunities and challenges in the learning landscape. They can provide content information and analysis across most academic discipli...
Learning Humans Female Artificial Intelligence Male Students Universities Economics
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SSTE: Syllable-Specific Temporal Encoding to FORCE-learn audio sequences with an associative memory approach.

Neural networks : the official journal of the International Neural Network Society May 7, 2024
The circuitry and pathways in the brains of humans and other species have long inspired researchers and system designers to develop accurate and efficient systems capable of solving real-world problems and responding in real-time. We propose the Syll...
Models, Neurological Neurons Memory Neural Networks, Computer Learning Humans Auditory Perception
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Visual feedbacks influence short-term learning of torque versus motion profile with robotic guidance among young adults.

Human movement science May 1, 2024
Robotic assistance can improve the learning of complex motor skills. However, the assistance designed and used up to now mainly guides motor commands for trajectory learning, not dynamics learning. The present study explored how a complex motor skill...
Adult Biomechanical Phenomena Male Female Humans Young Adult Learning Motor Skills Feedback, Sensory Transfer, Psychology Torque Psychomotor Performance Robotics
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Navigating the Artificial Intelligence Frontier for Teaching, Learning, and Enhanced Critical Thinking.

The Journal of nursing education May 1, 2024
Education, Nursing Artificial Intelligence Humans Learning Nursing Education Research Teaching Thinking
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Recurrent neural networks that learn multi-step visual routines with reinforcement learning.

PLoS computational biology Apr 29, 2024
Many cognitive problems can be decomposed into series of subproblems that are solved sequentially by the brain. When subproblems are solved, relevant intermediate results need to be stored by neurons and propagated to the next subproblem, until the o...
Models, Neurological Memory, Short-Term Neurons Animals Computational Biology Neural Networks, Computer Macaca mulatta Visual Perception Learning Visual Cortex Reinforcement, Psychology
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Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Health Care Professionals.

Journal of medical Internet research Apr 25, 2024
As the health care industry increasingly embraces large language models (LLMs), understanding the consequence of this integration becomes crucial for maximizing benefits while mitigating potential pitfalls. This paper explores the evolving relationsh...
Language Learning Trust Artificial Intelligence Health Personnel Humans
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Neuromorphic one-shot learning utilizing a phase-transition material.

Proceedings of the National Academy of Sciences of the United States of America Apr 17, 2024
Design of hardware based on biological principles of neuronal computation and plasticity in the brain is a leading approach to realizing energy- and sample-efficient AI and learning machines. An important factor in selection of the hardware building ...
Neural Networks, Computer Computers Learning Neurons Brain
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