Zyphra today announced the release of ZUNA, the company's first foundation model trained on brain data. ZUNA significantly ...

We observe that most existing learning-based VFI models are trained to minimise the L1/L2/VGG loss between their outputs and the ground-truth frames. However, it was shown in previous works that these ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

Abstract: This paper investigates a Verilog-based implementation of a bilinear interpolation algorithm aimed at solving the problem of pixel computation during image enlargement. The bilinear ...

Abstract: Convolutional neural networks (CNNs) have attracted considerable interest in seismic interpolation, in these networks, convolution operators are adopted to extract the features of seismic ...

Our algorithm generates a single B-spline surface patch that interpolates the given scattered 3d data points. The inputs are the scattered 3d data points and their parametrization (in domain [0, 1] x ...