Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Training a deep convolutional neural network (CNN) from scratch is difficult because it requires a large amount of labeled training data and a great deal of expertise to ensure proper convergence. A ...

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Detailed anatomical labeling of bronchial trees extracted from CT images can be used as fine-grained maps for intra-operative navigation. To cater to the sparse distribution of airway voxels and large ...

This work returns to rethink the value of traditional mindsets. My Email: [email protected]; Abstract: After a few years of research in the field of through-the-wall radar (TWR) human activity ...

Thanks to the neural network, the researchers now suspect, for example, that the black hole at the center of the Milky Way is spinning almost at top speed. Its rotation axis points to Earth.