Matt is an associate editorial director and award-winning content creation leader. He is a regular contributor to the CDW Tech Magazines and frequently writes about data analytics, software, storage ...

For decades, the retail industry has faced the same persistent problems of empty shelves, pricing errors and inventory discrepancies. Despite having spent billions of dollars on data analytics and ...

Abstract: In this paper, we propose a novel approach to minimize the inference delay in semantic segmentation using split learning (SL), tailored to the needs of real-time computer vision (CV) ...

I would like to contribute a new example under the computer vision section that demonstrates image segmentation using Grounded SAM2. This section will allow users to segment parts of an image ...

To develop a computer vision model that segments stones to improve visualisation during ureteroscopy (URS) and to compare model performance to that of experts. We collected 136 videos of URS for ...

The latest trends and issues around the use of open source software in the enterprise. JetBrains has detailed its eighth annual Python Developers Survey. This survey is conducted as a collaborative ...

DINOv3 represents a major leap in computer vision: its frozen universal backbone and SSL approach enable researchers and developers to tackle annotation-scarce tasks, deploy high-performance models ...

This study introduces Popnet, a deep learning model for forecasting 1 km-gridded populations, integrating U-Net, ConvLSTM, a Spatial Autocorrelation module and deep ensemble methods. Using spatial ...

Npj Digital Surgery invites submissions for a special collection on Computer Vision in Surgical Practice. As surgical technology evolves, computer vision emerges as a powerful tool to enhance ...

Brain tumor detection and segmentation are critical tasks in medical imaging analysis for diagnosis and treatment planning. In recent years, computer vision techniques, particularly those implemented ...