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Osaka University researchers used a large dataset of trauma patients in Japan to determine the characteristics and biomarkers most strongly associated with ...

To automatically generate data for training deep convolutional neural network models to segment building facades, researchers from Osaka University used a ...

SANKEN researchers achieved over 95% accuracy when reading the output spin states of qubits by implementing machine learning. By using deep neural networks, ...

Researchers from Osaka University have found that applying deep learning to electron microscope images can distinguish drug-resistant bacteria from ...

Osaka University researchers employed generative adversarial networks to more accurately construct datasets for aerial images of building that are obscured by ...

Osaka University researchers use machine learning to automate the classification of building type and color from street view images. By comparing with ...

Osaka University researchers created a diminished reality system for providing a future view of a building to be demolished. By implementing generative ...

Osaka University researchers use “domain adversarial” machine learning to remove the differences between animal and human walking trajectory data. This work ...

Osaka University researchers used the AI method called adversarial generative networks trained with a custom-made cityscape dataset to digitally remove objects ...