This study adopts a comparative approach to analyze the performance of three major models in object detection, namely Detectron2, YOLOv5, and YOLOv9, to validate use case diagrams. These three models ...

AI cameras are everywhere—spotting people, detecting objects, and powering advanced driver assistance systems in cars. But most are too bulky and power-hungry ...

The goal of this research was to implement a multi-sensor–based fuzzy fusion algorithm to improve the robustness of any CNN-based object detection system ... with very high accuracy and in real time.

Below, he explains how they vet agency proposals to use AI. For ideas classified as "high" risk under the NIST framework, most of the ones they reject have something in common: data practices that ...

More popularly known as unidentified flying objects or UFOs, UAPs aren’t necessarily considered as outlandish as they were ...

Cohere is now looking to use artificial intelligence to improve ... In 85% of instances, the AI is able to make a real-time decision, and 15% of decisions get final sign-offs from nurse reviewers ...

The method predicts keyhole pores in 3D printed metal parts by using a combination of thermal imaging, X-ray imaging, and machine learning.

Using ultralytics and YOLOv11 the accuracy and efficiency is incresed as compared to other Real time object detection and the automatic mail alert brings automation and mobility at the same time. The ...

Prime Minister Modi emphasized a team-based approach to eliminate TB by 2025, highlighting the detection of over 7 lakh cases, including asymptomatic ones, during a recent campaign. What stood out ...