AOMedia AV2 video codec draft specification release, and a quick try at the reference implementation
After 5 years of work and over 2700 commits against the reference software, the Alliance for Open Media (AOMedia) has ...
Abstract: Binary segmentation is used to distinguish objects of interest from background, and is an active area of convolutional encoder-decoder network research. The current decoders are designed for ...
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Combining AI and X-ray physics to overcome tomography data gaps
With PFITRE, Brookhaven scientists achieve breakthrough 3D imaging in nanoscale X-ray tomography, combining AI and physics for superior clarity and precision.
1 College of Science, Tianjin University of Technology and Education, Tianjin, China. 2 Lvliang Vocational and Technical College, Lvliang, China. Multiple reflections in seismic exploration data ...
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ABSTRACT: Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are ...
Electroencephalogram-based brain-computer interfaces (BCIs) hold promise for healthcare applications but are hindered by cross-subject variability and limited data. This article proposes a multi-task ...
The new Nvidia GeForce RTX 50 Series GPUs feature up to three encoders for 4:2:2 video and FP4 for ramped up AI performance, plus new AI tools for livestreaming, DLSS 4 to boost 3D rendering, NVIDIA ...
U-Net and its variants have been widely used in the field of image segmentation. In this paper, a lightweight multi-scale Ghost U-Net (MSGU-Net) network architecture is proposed. This can efficiently ...
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