In the water sector as well, technological transformation is now bringing substantial breakthroughs. Recently, DEEP Robotics ...

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

Abstract: Safety inspection is a crucial task for high-speed trains. Conventional methods based on computer vision are insufficient in achieving this task by using template matching, the main reason ...

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 ...

Abstract: This paper addresses the challenges of defect detection in package physical components through manual inspection, which relies on operator evaluation. Human fatigue, resulting in eye strain ...

In this tutorial, we explore how to build neural networks from scratch using Tinygrad while remaining fully hands-on with tensors, autograd, attention mechanisms, and transformer architectures. We ...

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...

Euresys announce the availability of Cost-Effective Inference Licenses for image classification, supervised or unsupervised segmentation and object localization. When implementing Deep Learning on ...

ABSTRACT: Aiming at the three major pain points of low production efficiency, poor positioning accuracy, and insufficient quality inspection reliability in manual operations of transformer yoke ...