A new review examines how insertion and deletion (indel) errors disrupt data synchronization in modern communication systems.

There is no doubt that the semiconductor industry is in an era of rapid and profound transformation, driven by an increasing ...

Researchers have evaluated how Vision Transformers and convolutional neural networks can support faster and more accurate ...

Innovative magnetic robots for steel bridge inspection utilize AI and advanced sensors, ensuring effective defect detection and structural health monitoring.

Read more about Deep learning and AI unlock new era of solar energy forecasting and performance on Devdiscourse ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

Social media companies are under pressure to crack down on so-called deepfake videos that use deceptive images of real people. By Natallie Rocha Reporting from San Francisco YouTube is adding a ...

Abstract: Micro-LEDs are pivotal for next-generation display and sensing technologies, where high-precision defect inspection is essential. Existing methods often struggle with subtle inter-class ...

Abstract: Deep-learning-based defect detection models require large and diverse datasets, yet obtaining sufficient defect samples in industrial environments is challenging. Existing ...

A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection" The author submitted the paper to Journal of Intelligent ...