In recent years, the field of computer vision has witnessed a remarkable transformation with the introduction of Convolutional Neural Networks (CNNs). These deep learning models have ...

Convolutional neural networks (CNNs) are a class of deep neural networks commonly used in computer vision tasks such as image and video recognition, object detection and image segmentation.

They are developing a Quantum Convolutional Neural Network (QCNN) architecture to enhance the performance of traditional computer vision tasks using quantum mechanics principles.

Computer vision is what powers a bar code scanner’s ability to “see” a bunch of stripes in a UPC. It’s also how Apple’s Face ID can tell whether a face its camera is looking at is yours.

Keywords: Convolutional Neural Networks (CNN), visual system, ventral stream, blindsight, superior colliculus, pulvinar, V1-independent vision Citation: Celeghin A, Borriero A, Orsenigo D, Diano M, ...

SHENZHEN, China, May 13, 2025 /PRNewswire/ -- MicroAlgo Inc. (the 'Company' or 'MicroAlgo') (NASDAQ: MLGO), they announced today their research on quantum visual computing, exploring the integration ...

They are developing a Quantum Convolutional Neural Network (QCNN) architecture to enhance the performance of traditional computer vision tasks using quantum mechanics principles.

SHENZHEN, China, May 13, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), they announced today their research on quantum visual computing, exploring the integration ...