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Streaming from the future
Osaka University researchers created a diminished reality system for providing a future view of a building to be demolished. By implementing generative ...
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2022
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A moth’s virtual reality
Researchers at Osaka University and Tokyo Institute of Technology placed a male silkmoth in a virtual reality system to monitor its mate-searching behavior ...
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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
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Paint the town
Osaka University researchers use machine learning to automate the classification of building type and color from street view images. By comparing with ...
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2021
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Eye in the sky
Osaka University researchers employed generative adversarial networks to more accurately construct datasets for aerial images of building that are obscured by ...
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2021
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Keeping it rolling
Osaka University researchers use machine learning methods to generate predicted remaining useful life curves for rolling bearings. By combining the results ...
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2021
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Discovering candidate for reflex network of walking cats: Understanding animals with robots
A group of researchers from Osaka University developed a quadruped robot platform that can reproduce the neuromuscular dynamics of animals, discovering that a ...
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2021
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Mixed reality gets a machine learning upgrade
Osaka University researchers showed that mixed reality views of proposed buildings or landscapes can be generated rapidly with the help of machine learning. By ...
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2021
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Birdwatching from afar: amazing new AI-enabled camera system to target specific behaviors
Osaka University researchers have developed an innovative animal-borne data-collection system assisted by artificial intelligence to track previously ...
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2020