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 ...
Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...
We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
A new technical paper titled “Electron Microscopy-based Automatic Defect Inspection for Semiconductor Manufacturing: A Systematic Review” was published by researchers at KU Leuven and imec. “In this ...
Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
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WiMi researches hybrid quantum-classical learning for multi-class image classification
WiMi Hologram Cloud is studying a hybrid quantum-classical learning architecture for advanced multi-class image classification applications in artificial intelligence research worldwide.
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