AI At The Edge: Why The Future Of Intelligence Isn't Centralized

An edge-based system can not only perform better under pressure—I've found it can keep performing even after a connection ...
Scientific Research Publishing

A Dangerous Driving Behaviors Detection Method for Car Driver Based on Improved YOLOv7 Model ()

1 School of Mechatronic Engineering, Mechanical Engineering, China University of Mining and Technology, Xuzhou, China. 2 Department of Manufacturing Engineering and Management, University of ...
IEEE

Large Convolution Kernel Network With Edge Self-Attention for Oriented SAR Ship Detection

Abstract: Synthetic aperture radar (SAR) ship detection is a popular area in remote sensing, which has broad applications in fishery management, maritime rescue and marine detection. In recent years, ...
The Next Web

FOMO is a TinyML neural network for real-time object detection

This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...
IEEE

Edge-Aware Convolution Neural Network Based Salient Object Detection

Abstract: Salient object detection has received great amount of attention in recent years. In this letter, we propose a novel salient object detection algorithm, which combines the global contextual ...