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 ...
TMCnet

Ultralytics Launches YOLO26, Setting a New Global Standard for Edge-First Vision AI

Ultralytics, the global leader in open-source vision AI, today announced the launch of Ultralytics YOLO26, the most advanced ...
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

Overview of deep learning architectures computers use to detect objects

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...
VentureBeat

Facebook AI Research applies Transformer architecture to streamline object detection models

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Six members of Facebook AI Research (FAIR) tapped the popular Transformer ...
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 ...