In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and ...

Instead of collecting thousands of real photographs, they used a special kind of AI approach, called a diffusion model, to generate realistic ... scenes where object detection has previously ...

The first chapter covers artists using “analytical AI”—where vast quantities of data are used for detection ... AI”, an advanced machine learning model capable of producing new data ...

Methods: To address these limitations, deep learning models have been developed for automated B-line detection and localization ... from the YOLOv8 segmentation model, utilizing its segmentation ...

recognition of military vehicles in social media [1], recognition of camouflaged military targets [2], and battlefield object detection [3]. Military superpowers such as the United States are ...

Researchers assembled a retrospective dataset from 2015 to 2024, including 395 patients with pathologically confirmed endometriosis and an age-matched control group of 356 patients who had undergone ...

Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

Researchers created an attention-multiple-instance deep learning AI model to predict whether indeterminate thyroid nodules were benign or malignant. After creating a baseline model that performed ...

OpenAI released its newest AI model and said it can understand uploaded images like whiteboards, sketches and diagrams, even ...

In the ever-growing field of machine learning, one of the most significant challenges is making complex models interpretable and accessible. Enter AutoXplainAI, an innovative framework developed by ...