Explore the VGG architecture, a widely-used convolutional neural network (CNN) model known for its simplicity and performance ...

Reconfigurable datacenter networks (RDCNs), which can adapt their topology dynamically, based on innovative optical switching ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), they announced today their research on quantum visual computing, exploring the integration of quantum computing with classical ...

Neural processing unts (NPUs) are the latest chips you might find in smartphones and laptops — but what are they ard why are they so important?

Modern LLMs are no longer restricted to text. Thanks to multimodal supervision, they can also process and generate images, ...

A pioneering study published in Science Bulletin introduces an innovative data management framework that integrates AI and blockchain technology to address critical challenges in multicenter ...

Despite the widespread success of neural networks, their susceptibility to adversarial examples remains a significant challenge. Adversarial training (AT) has emerged as an effective approach to ...

This study utilizes deep learning to enhance kiwifruit disease identification by evaluating eight advanced convolutional neural network (CNN) architectures on real-world field data. Among these, ...

The methodology encompassed the structured loading of biometric data, facial detection using the Multi-Task Cascaded Convolutional Neural Network (MTCNN ... leveraging YOLO version 8 architecture for ...