Semiconductor Engineering

AI Transformer Models Enable Machine Vision Object Detection

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...
VentureBeat

Researchers open-source state-of-the-art object tracking AI

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A team of Microsoft and Huazhong University researchers this week ...
EurekAlert!

AI models for remote object detection are vulnerable to both physical and digital attacks

This figure illustrates the difference between digital and physical attacks in the context of remote sensing. It is observed that: • For physical attacks, the attacker manipulates either the actual ...
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 ...
Visual Studio Magazine

ML.NET Improves Object Detection

Microsoft improved the object detection capabilities of its ML.NET machine learning framework for .NET developers, adding the ability to train custom models with Model Builder in Visual Studio. ML.NET ...
EurekAlert!

Quadrotor UAV-based smoke detection system using YOLOv8 improves wildfire prevention

The quadrotor UAV-based smoke detection system integrates a standard camera, YOLOv8 nano model, and ROS framework, optimized for real-time smoke detection under challenging conditions. The system ...