They are developing a Quantum Convolutional Neural Network (QCNN) architecture ... like the human visual system, involving tasks such as image recognition, object detection, and image segmentation.

Learn how to design resilient event-driven systems that scale. Explore key patterns like shuffle sharding and decoupling ...

While the CTM shows strong promise, it is still primarily a research architecture and is not yet production-ready out of the box.

In a domain, or features-based architecture, a car may have dozens of ECUs to control everything from power windows to the HVAC system to the ... complex software network that integrates codes ...

Australian telco TPG Telecom has sent the first direct-to-smartphone text message on its Vodafone mobile network using US satellite operator Lynk Global’s fleet of LEO satellites. Lynk has ...

This paper proposes a hybrid attention-based ResNet architecture for ICH detection and classification ... generative adversarial network (DCGAN) is used for resolving the class imbalance problem. The ...

For the task of lane detection, this paper improves the segmentation accuracy and improves the traditional lanenet model while ensuring that the network model is lighter weight and more robust. Then, ...

I’ve been writing about technology since 2012, focusing on privacy. With companies vying for user data, AI skimming it for tools, and countless bad actors seeking to exploit it, safeguarding the ...