Electronic Design

Applying Edge AI to DC Arc Fault Detection (Part 2): Software Development to Deployment

Learn about the methodology and tools for AI-driven arc fault detection to create real-time classification on MCUs, improving ...
Microsoft

From edge appliance to enterprise compromise: Multi-stage Linux intrusion via F5 and Confluence

A multi-stage attack on Linux devices began with an exposed F5 BIG-IP edge appliance and pivoted to an internal Confluence ...
Dark Reading

AI-Assisted Exploit Development Outpaces Scanner Detection

Attackers have reduced the time to develop an exploit for a known vulnerability from 125 days to a mere half a day, thanks to the use of AI-assisted development, leaving vulnerability scanners ...
Tech Xplore on MSN

Enhanced YOLO framework boosts 360-degree small-object detection to 90% accuracy

Omnidirectional cameras are widely popular as they capture a full 360-degree view. They are often utilized for surveillance, ...
IEEE

DRR-YOLO: A Study of Small Target Multi-Modal Defect Detection for Multiple Types of Insulators Based on Large Convolution Kernel

Abstract: The existing insulator defect detection algorithms are mainly characterized by their ability to identify only a single type of defect, accompanied by relatively low accuracy, a Dilated ...
IEEE

Real-Time Hand Gesture Recognition System Using Mediapipe, Spiking Convolution Neural Network and Bi-LSTM

Abstract: World Health Organization claims that approximately 5 % of the world population suffers from being deaf and mute. This highlights the critical need for technologies to bridge the ...
GitHub

Modification of Kolmogorov-Arnold Transformer

A research-style PyTorch project for experimenting with Kolmogorov–Arnold Transformer (KAT) variants for image classification. This repository name follows the course paper title: Modification of ...