AIMC Topic: Motion Pictures

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Postphenomenological Study: Using Generative Knowing and Science Fiction for Fostering Speculative Reflection on AI-nudge Experience.

Science and engineering ethics May 14, 2025
This study presents an evidence-based argument for integrating participatory inquiry practices into AI education, using science fiction films as a primary tool for examining human-technology relationships. Through a media-enhanced co-inquiry approach...
Engineering Motion Pictures Culture Thinking Focus Groups Science Knowledge Artificial Intelligence Technology Students Humans
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Stimulus Selection Influences Prediction of Individual Phenotypes in Naturalistic Conditions.

Human brain mapping Feb 15, 2025
While the use of naturalistic stimuli such as movie clips for understanding individual differences and brain-behaviour relationships attracts increasing interest, the influence of stimulus selection remains largely unclear. By using machine learning ...
Adult Male Magnetic Resonance Imaging Female Young Adult Cerebral Cortex Photic Stimulation Visual Perception Brain Mapping Individuality Machine Learning Phenotype Humans Motion Pictures
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Improved generative adversarial networks model for movie dance generation.

PloS one Jan 1, 2025
To address the challenges of innovation and efficiency in film choreography, this study proposes a dance generation model based on the generative adversarial networks. The model is trained using the AIST++ dance motion dataset, incorporating data fro...
Humans Neural Networks, Computer Algorithms Dancing Motion Pictures Video Recording Signal-To-Noise Ratio Generative Adversarial Networks Music
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Influence of prior knowledge on eye movements to scenes as revealed by hidden Markov models.

Journal of vision Sep 1, 2023
Human visual experience usually provides ample opportunity to accumulate knowledge about events unfolding in the environment. In typical scene perception experiments, however, participants view images that are unrelated to each other and, therefore, ...
Sensation Motion Pictures Humans Machine Learning Eye Movements
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Machine learning and deep learning systems for automated measurement of "advanced" theory of mind: Reliability and validity in children and adolescents.

Psychological assessment Feb 1, 2023
Understanding individual differences in theory of mind (ToM; the ability to attribute mental states to others) in middle childhood and adolescence hinges on the availability of robust and scalable measures. Open-ended response tasks yield valid indic...
Motion Pictures Social Skills Reproducibility of Results Child Humans Deep Learning Theory of Mind Adolescent
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Intelligent identification of film on cotton based on hyperspectral imaging and convolutional neural network.

Science progress Jan 1, 2022
The identification of the film on cotton is of great significance for the improvement of cotton quality. Most of the existing technologies are dedicated to removing colored foreign fibers from cotton using photoelectric sorting methods. However, the ...
Principal Component Analysis Neural Networks, Computer Hyperspectral Imaging Algorithms Motion Pictures
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Make robot motions natural.

Nature Jan 1, 2019
Humans Algorithms Acclimatization Gestures Computer Simulation Posture Movement Biomimetics Robotics Motion Pictures Animals Ants Caenorhabditis elegans Models, Biological Hypogravity Locomotion Motion
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The next generation's Frankenstein films.

Science (New York, N.Y.) Jan 12, 2018
Transplantation, Heterologous Humans Gene Editing Motion Pictures Artificial Intelligence Genetic Engineering Science in the Arts
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Baby, Where Did You Get Those Eyes?: IEEE Pulse talks with Mark Sagar about the new face of artificial intelligence.

IEEE pulse Jan 1, 2015
Mark Sagar is changing the way we look at computers by giving them faces?disconcertingly realistic human faces. Sagar first gained widespread recognition for his pioneering work in rendering faces for Hollywood movies, including Avatar and King Kong....
Motion Pictures Female Male Face Humans Artificial Intelligence
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