In a world where digital transformation is accelerating at an unprecedented pace, AI-driven data analytics has become the cornerstone of both cybersecurity and public safety innovation. As ...

while maintaining detection accuracy, thereby providing new solutions for real-time image processing and edge intelligence devices. The quantum image edge detection algorithm is based on quantum ...

CT-Bound decomposes boundary estimation into two tasks: local detection and global regularization. “During the local detection, the model uses a convolutional architecture ... maps on real captured ...

Built on Nvidia’s BlueField data processing units, DOCA Argus enables agentless, real-time threat detection that integrates ... a jointly developed architecture that brings built-in ...

Learn More More than 40% of corporate fraud is now AI-driven, designed to mimic real users ... standing fraud detection platforms that rely on sporadic or single point-in-time checks.

Starting a new software project often ... you can align your architecture with the growing demands of your application and team. Determining the right time to transition from a mono repo to ...

RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time model to exceed 60 AP on ...

Roboflow has launched RF-DETR, a real-time object detection model tailored ... on a streamlined version of Facebook’s DEtection TRansformer (DETR) architecture. The model was designed to address ...

While these methods have seen some success, they frequently encounter limitations in dynamic environments, where robustness and computational efficiency become critical for real-time ... architecture, ...

At the same time ... the optimized network architecture, LFN-YOLO shows improved detection accuracy and higher FPS in real underwater scenarios. The paper is organized as follows. Section 2 reviews ...