New neural framework enhances reconstruction of high-resolution images

Deep learning (DL) has significantly transformed the field of computational imaging, offering powerful solutions to enhance performance and address a variety of challenges. Traditional methods often rely on discrete pixel representations, which limit resolution and fail to capture the continuous and multiscale nature of physical objects. Recent research from Boston University (BU) presents a novel approach to overcome these limitations.

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techxplore.com - 16/Sep 19:09

Developing large-scale neural network models that mimic the brain's activity is a major goal in the field of computational neuroscience. Existing...

Novel framework allows for automated tuning of large-scale neuronal models

techxplore.com - 16/Sep 19:09

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Decoding the neural code could lead to AI surpassing human intelligence. Discover the implications and safeguards of advanced AI.

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New neural framework enhances reconstruction of high-resolution images

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