Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.
Investigators developed and validated a masked autoencoder deep learning model using vision transformer technology to automate the detection and grading of nuclear cataracts from slit-lamp images.
Researchers at Tsinghua University and Z.ai built IndexCache to eliminate redundant computation in sparse attention models ...
Index modulation (IM) has emerged as a promising technique for improving spectral efficiency and hardware efficiency in next-generation communication ...
Researchers from BUPT and CUHK-SZ propose FedSIN to tackle heterogeneity and dynamic contributions in non-Euclidean federated ...
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Diffusion-based AI model successfully trained in electroplating
Electrochemical deposition, or electroplating, is a common industrial technique that coats materials to improve corrosion ...
The number and variety of test interfaces, coupled with increased packaging complexity, are adding a slew of new challenges.
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