Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

A research team led by Dr. Jinung An of the Division of Intelligent Robotics at DGIST has developed a new AI foundation model ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...

Building an AI-Integrated Braille Recognition Model for Blind Education: From Mechanical Devices to Personalized Learning ...

Abstract: Flying Ad-Hoc Networks (FANETs), commonly referred to as drones or Unmanned Aerial Vehicles (UAVs), are increasingly transforming various industries by supporting numerous applications. In ...

Machine learning and AI are now entering the field of textile technology and at this year’s ITMA Asia + CITME exhibition from October 28-31 in Singapore, UK-based Shelton Vision will demonstrate how ...

To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...

Introduction: Fish keypoint detection is a prerequisite for accurate fish behavior analysis and biomass weight estimation, and is therefore crucial for efficient and intelligent offshore aquaculture.

SHENZHEN, China, June 10, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announced the development of a noise-resistant ...

This study proposes an automated tongue analysis system that combines deep learning with traditional Chinese medicine to enhance the accuracy and objectivity of tongue diagnosis. The system includes a ...