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As a work exploring the existing trade-off between accuracy and efficiency in the context of point cloud processing, Point Transformer V3 (PTV3) has made significant advancements in computational ...

Efficient artificial intelligence (AI) hardware is crucial for resource-constrained applications such as healthcare and transportation, where it enhances performance, reduces costs, and supports ...

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This work presents TinyFusion, a learnable depth pruning method for diffusion transformers. We highlight the following key findings: The script prune_by_learning.py allows users to prune and derive ...

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Wound assessment is essential for evaluating wound healing. One cornerstone of wound care practice is the use of clinical guidelines that mandate regular documentation, including wound size and wound ...

We proposed a diffuse imaging approach for universal noninvasive blood glucose measurements based on visible light, which can predict the blood glucose concentration without personal calibration. The ...

Human decisions are based on finite information, which makes them inherently imprecise. But what determines the degree of such imprecision? Here, we develop an efficient coding framework for ...

More than 7 years ago, Elektor published my 500 ppm LCR Meter AU2013. Since then I have developed a new LCR Meter, sacrificing a little on extreme accuracy for the sake of extended functionality. A ...