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 ...
Nature

Deep learning for real-time object detection

Real-time object detection is a critical capability in computer vision, enabling systems to identify and localize objects instantly in dynamic environments. Recent advances leverage optimized ...
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 ...
Business Wire

Safe Pro Surpasses 1,000,000 Drone Images Analyzed Milestone Using Its Novel AI Algorithms & Machine Learning Models on AWS Cloud Advancing Small Object Threat Detection

AVENTURA, Fla.--(BUSINESS WIRE)--Safe Pro Group Inc. (Nasdaq: SPAI) (“Safe Pro” or the “Company”), a leading provider of artificial intelligence (AI) solutions specializing in drone imagery processing ...
Semiconductor Engineering

Deep Learning Delivers Fast, Accurate Solutions For Object Detection In The Automated Optical Inspection Of Electronic Assemblies

When automated optical inspection (AOI) works, it is almost always preferable to human visual inspection. It can be faster, more accurate, more consistent, less expensive, and it never gets tired.
CIO Applications

An In-Depth Exploration of Machine Learning Benefits

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...
techtimes

Researchers Use Machine Learning to Detect Flaws in Laser Powder Bed Fusion Additive Manufacturing Process

A team of researchers from the University of Virginia, Carnegie Mellon University, and the University of Wisconsin-Madison has made a breakthrough in the field of additive manufacturing that could ...
EurekAlert!

Attention detection using EEG signals and machine learning: A review

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...