AIMC Topic: Learning

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Multiview child motor development dataset for AI-driven assessment of child development.

GigaScience May 27, 2023
BACKGROUND: Children's motor development is a crucial tool for assessing developmental levels, identifying developmental disorders early, and taking appropriate action. Although the Korean Developmental Screening Test for Infants and Children (K-DST)...
Infant Child Child, Preschool Artificial Intelligence Learning Humans Child Development
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Stable invariant models via Koopman spectra.

Neural networks : the official journal of the International Neural Network Society May 26, 2023
Weight-tied models have attracted attention in the modern development of neural networks. The deep equilibrium model (DEQ) represents infinitely deep neural networks with weight-tying, and recent studies have shown the potential of this type of appro...
Learning Algorithms Neural Networks, Computer
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Three levels of information processing in the brain.

Bio Systems May 26, 2023
Information, the measure of order in a complex system, is the opposite of entropy, the measure of chaos and disorder. We can distinguish several levels at which information is processed in the brain. The first one is the level of serial molecular gen...
Brain Cognition Learning Artificial Intelligence Consciousness
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CLDTLog: System Log Anomaly Detection Method Based on Contrastive Learning and Dual Objective Tasks.

Sensors (Basel, Switzerland) May 24, 2023
System logs are a crucial component of system maintainability, as they record the status of the system and essential events for troubleshooting and maintenance when necessary. Therefore, anomaly detection of system logs is crucial. Recent research ha...
Learning Uncertainty Natural Language Processing Semantics
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Preschoolers search longer when there is more information to be gained.

Developmental science May 21, 2023
What drives children to explore and learn when external rewards are uncertain or absent? Across three studies, we tested whether information gain itself acts as an internal reward and suffices to motivate children's actions. We measured 24-56-month-o...
Exploratory Behavior Uncertainty Reward Artificial Intelligence Child Learning Humans
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Continual learning with invertible generative models.

Neural networks : the official journal of the International Neural Network Society May 19, 2023
Catastrophic forgetting (CF) happens whenever a neural network overwrites past knowledge while being trained on new tasks. Common techniques to handle CF include regularization of the weights (using, e.g., their importance on past tasks), and rehears...
Learning Machine Learning Neural Networks, Computer
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Fingerprint-Enhanced Graph Attention Network (FinGAT) Model for Antibiotic Discovery.

Journal of chemical information and modeling May 11, 2023
Artificial Intelligence (AI) techniques are of great potential to fundamentally change antibiotic discovery industries. Efficient and effective molecular featurization is key to all highly accurate learning models for antibiotic discovery. In this pa...
Learning Neural Networks, Computer Anti-Bacterial Agents Artificial Intelligence
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Distance metric learning based on the class center and nearest neighbor relationship.

Neural networks : the official journal of the International Neural Network Society May 10, 2023
Distance metric learning has been a promising technology to improve the performance of algorithms related to distance metrics. The existing distance metric learning methods are either based on the class center or the nearest neighbor relationship. In...
Cluster Analysis Learning Artificial Intelligence Education, Distance Algorithms
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An adaptive reinforcement learning-based multimodal data fusion framework for human-robot confrontation gaming.

Neural networks : the official journal of the International Neural Network Society May 6, 2023
Playing games between humans and robots have become a widespread human-robot confrontation (HRC) application. Although many approaches were proposed to enhance the tracking accuracy by combining different information, the problems of the intelligence...
Neural Networks, Computer Learning Humans Video Games Reinforcement, Psychology Robotics
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Commitments for Ethically Responsible Sourcing, Use, and Reuse of Patient Data in the Digital Age: Cocreation Process.

Journal of medical Internet research May 5, 2023
BACKGROUND: Personal information, including health-related data, may be used in ways we did not intend when it was originally shared. However, the organizations that collect these data do not always have the necessary social license to use and share ...
Humans Trust Artificial Intelligence Communication Privacy Learning
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