Modern air combat can be brutally swift. With beyond-visual-range missiles, advanced radar, and precision targeting, a ...

SkyDefense LLC’s CobraJet represents a watershed moment in military innovation—blending AI, eVTOL, and low-cost design to ...

Discover how to accelerate Python data science workflows using GPU-accelerated libraries like cuDF, cuML, and cuGraph for faster data processing and model training.

Self-Driving Car research problem requires several sub-topics that need to be discussed more deeply. Such as Deep Learning, Computer Vision, Fusion Sensor, Localization, Control, until Path Planning.

This programs explains how to train your own convolutional neural network (CNN) in object detection for multiple objects, starting from scratch. Using the tutorial one can identify and detect specific ...

Addressing the need for vehicle speed measurement in traffic surveillance, this study introduces an enhanced scheme combining YOLOv5s detection with Deep SORT tracking. Tailored to the characteristics ...

This Python -based scheme presents an innovative approach to bolstering road safety by harnessing the power of computer vision and machine learning. The primary objective is to provide drivers with ...

It focuses on three key areas—the CPU, GPU, and memory usage—that are responsible for the majority of Python’s sluggish speed. Once Scalene has identified where Python is having trouble keeping up, it ...