AIMC Topic: Learning

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Flexibility in conceptual combinations: A neural network model of gradable adjective modification.

PloS one Jul 26, 2024
Our ability to combine simple constituents into more complex conceptual combinations is a fundamental aspect of cognition. Gradable adjectives (e.g., 'tall' and 'light') are a critical example of this process, as their meanings vary depending on the ...
Semantics Learning Humans Neural Networks, Computer Cognition
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GCReID: Generalized continual person re-identification via meta learning and knowledge accumulation.

Neural networks : the official journal of the International Neural Network Society Jul 22, 2024
Person re-identification (ReID) has made good progress in stationary domains. The ReID model must be retrained to adapt to new scenarios (domains) as they emerge unexpectedly, which leads to catastrophic forgetting. Continual learning trains the mode...
Algorithms Learning Biometric Identification Knowledge Neural Networks, Computer Machine Learning Generalization, Psychological Humans
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Artificial intelligence and anatomy grading: Opportunities for more meaningful learning.

Anatomical sciences education Jul 22, 2024
Educational Measurement Anatomy Artificial Intelligence Learning Humans
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Reconciling shared versus context-specific information in a neural network model of latent causes.

Scientific reports Jul 22, 2024
It has been proposed that, when processing a stream of events, humans divide their experiences in terms of inferred latent causes (LCs) to support context-dependent learning. However, when shared structure is present across contexts, it is still uncl...
Learning Bayes Theorem Humans Neural Networks, Computer Algorithms
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Inductive biases of neural network modularity in spatial navigation.

Science advances Jul 19, 2024
The brain may have evolved a modular architecture for daily tasks, with circuits featuring functionally specialized modules that match the task structure. We hypothesize that this architecture enables better learning and generalization than architect...
Spatial Navigation Bayes Theorem Nerve Net Brain Learning Animals Models, Neurological Humans Neural Networks, Computer
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Direct Comparisons of Upper-Limb Motor Learning Performance Among Three Types of Haptic Guidance With Non-Assisted Condition in Spiral Drawing Task.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 17, 2024
In robot-assisted rehabilitation, it is unclear which type of haptic guidance is effective for regaining motor function because of the lack of direct comparisons among multiple types of haptic guidance. The objective of this study was to investigate ...
Upper Extremity Male Robotics Young Adult Adult Humans Motor Skills Learning Healthy Volunteers Movement Female Psychomotor Performance
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Does using artificial intelligence assistance accelerate skill decay and hinder skill development without performers' awareness?

Cognitive research: principles and implications Jul 12, 2024
Artificial intelligence in the workplace is becoming increasingly common. These tools are sometimes used to aid users in performing their task, for example, when an artificial intelligence tool assists a radiologist in their search for abnormalities ...
Humans Awareness Artificial Intelligence Learning
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Multi-task neural networks by learned contextual inputs.

Neural networks : the official journal of the International Neural Network Society Jul 9, 2024
This paper explores learned-context neural networks. It is a multi-task learning architecture based on a fully shared neural network and an augmented input vector containing trainable task parameters. The architecture is interesting due to its powerf...
Humans Algorithms Learning Neural Networks, Computer Machine Learning
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Flexible multitask computation in recurrent networks utilizes shared dynamical motifs.

Nature neuroscience Jul 9, 2024
Flexible computation is a hallmark of intelligent behavior. However, little is known about how neural networks contextually reconfigure for different computations. In the present work, we identified an algorithmic neural substrate for modular computa...
Neurons Algorithms Nerve Net Learning Animals Models, Neurological Neural Networks, Computer
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Prompt Engineering for Nurse Educators.

Nurse educator Jul 5, 2024
BACKGROUND: The integration of generative artificial intelligence (AI) tools like OpenAI's ChatGPT into nursing education marks a transformative advance in personalized learning and interactive engagement.
Humans Artificial Intelligence Nursing Education Research Nursing Evaluation Research Faculty, Nursing Learning Education, Nursing
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