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City digital twins help train deep learning models to separate building facades
To automatically generate data for training deep convolutional neural network models to segment building facades, researchers from Osaka University used a ...
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2022
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Facial similarity influences perceptions of trustworthiness for same-sex interactions
Researchers from Osaka University found that when viewing photos of strangers, ratings of trustworthiness were correlated with facial similarity as calculated ...
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2022
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Ions in the machine: How simple liquids like water can perform complex calculations
To demonstrate the potential of chemical dynamics as a computing resource, researchers from Osaka University, the University of Tokyo, and Hokkaido University ...
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2022
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Cutting through the noise: AI enables high-fidelity quantum computing
SANKEN researchers achieved over 95% accuracy when reading the output spin states of qubits by implementing machine learning. By using deep neural networks, ...
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2021
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Walking patterns of movement disorders shared among worms, mice, and humans
Osaka University researchers use “domain adversarial” machine learning to remove the differences between animal and human walking trajectory data. This work ...
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2021
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X-ray street vision
Osaka University researchers used the AI method called adversarial generative networks trained with a custom-made cityscape dataset to digitally remove objects ...
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2021
