Neural network optimisation has emerged as a transformative approach in microwave engineering, driving enhancements in both the accuracy and speed of electromagnetic (EM) simulations and circuit ...
Neural network pruning is a key technique for deploying artificial intelligence (AI) models based on deep neural networks (DNNs) on resource-constrained platforms, such as mobile devices. However, ...
Decreasing Precision with layer Capacity trains deep neural networks with layer-wise shrinking precision, cutting cost by up to 44% and boosting accuracy by up to 0.68% ...
In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...
Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...
Neuromorphic computing systems, encompassing both digital and analog neural accelerators, promise to revolutionize AI ...
Layered metasurfaces trained as optical neural networks enable multifunctional holograms and security features, integrating ...
An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to improve imaging stability, accuracy, and automation. By ...
Vietnam Investment Review on MSN
WiMi researches hybrid quantum classical learning for multi-class image classification
WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), is a leading global Hologram Augmented Reality ("AR") Technology provider. On the basis of in-depth research on quantum convolutional ...
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