AIMC Topic: Learning

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Real-world humanoid locomotion with reinforcement learning.

Science robotics Apr 17, 2024
Humanoid robots that can autonomously operate in diverse environments have the potential to help address labor shortages in factories, assist elderly at home, and colonize new planets. Although classical controllers for humanoid robots have shown imp...
Reinforcement, Psychology Robotics Locomotion Learning Walking Aged Humans
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Learning spiking neuronal networks with artificial neural networks: neural oscillations.

Journal of mathematical biology Apr 17, 2024
First-principles-based modelings have been extremely successful in providing crucial insights and predictions for complex biological functions and phenomena. However, they can be hard to build and expensive to simulate for complex living systems. On ...
Neural Networks, Computer Learning Nonlinear Dynamics
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Transparent medical image AI via an image-text foundation model grounded in medical literature.

Nature medicine Apr 16, 2024
Building trustworthy and transparent image-based medical artificial intelligence (AI) systems requires the ability to interrogate data and models at all stages of the development pipeline, from training models to post-deployment monitoring. Ideally, ...
Learning Artificial Intelligence Humans Physicians
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Application of artificial intelligence-assisted image diagnosis software based on volume data reconstruction technique in medical imaging practice teaching.

BMC medical education Apr 11, 2024
BACKGROUND: In medical imaging courses, due to the complexity of anatomical relationships, limited number of practical course hours and instructors, how to improve the teaching quality of practical skills and self-directed learning ability has always...
Software Learning Tomography, X-Ray Computed Humans Artificial Intelligence Teaching Education, Medical
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Learning agile soccer skills for a bipedal robot with deep reinforcement learning.

Science robotics Apr 10, 2024
We investigated whether deep reinforcement learning (deep RL) is able to synthesize sophisticated and safe movement skills for a low-cost, miniature humanoid robot that can be composed into complex behavioral strategies. We used deep RL to train a hu...
Robotics Learning Soccer Walking Computer Simulation
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Dynamic Bayesian network structure learning based on an improved bacterial foraging optimization algorithm.

Scientific reports Apr 9, 2024
With the rapid development of artificial intelligence and data science, Dynamic Bayesian Network (DBN), as an effective probabilistic graphical model, has been widely used in many engineering fields. And swarm intelligence algorithm is an optimizatio...
Bayes Theorem Genes, Bacterial Algorithms Learning Artificial Intelligence
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Human and AI collaboration in the higher education environment: opportunities and concerns.

Cognitive research: principles and implications Apr 8, 2024
In service of the goal of examining how cognitive science can facilitate human-computer interactions in complex systems, we explore how cognitive psychology research might help educators better utilize artificial intelligence and AI supported tools a...
Learning Automation Artificial Intelligence Cognitive Psychology Cognitive Science Humans
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SwinPA-Net: Swin Transformer-Based Multiscale Feature Pyramid Aggregation Network for Medical Image Segmentation.

IEEE transactions on neural networks and learning systems Apr 4, 2024
The precise segmentation of medical images is one of the key challenges in pathology research and clinical practice. However, many medical image segmentation tasks have problems such as large differences between different types of lesions and similar...
Neural Networks, Computer Learning Benchmarking Semantics Image Processing, Computer-Assisted
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Graph Representation Learning for Large-Scale Neuronal Morphological Analysis.

IEEE transactions on neural networks and learning systems Apr 4, 2024
The analysis of neuronal morphological data is essential to investigate the neuronal properties and brain mechanisms. The complex morphologies, absence of annotations, and sheer volume of these data pose significant challenges in neuronal morphologic...
Neurons Algorithms Neural Networks, Computer Learning Brain
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Eye-LRCN: A Long-Term Recurrent Convolutional Network for Eye Blink Completeness Detection.

IEEE transactions on neural networks and learning systems Apr 4, 2024
Computer vision syndrome causes vision problems and discomfort mainly due to dry eye. Several studies show that dry eye in computer users is caused by a reduction in the blink rate and an increase in the prevalence of incomplete blinks. In this conte...
Humans Neural Networks, Computer Blinking Dry Eye Syndromes Learning Computers
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