We spoke with endocrinologists to explore the potential of artificial intelligence in the management of chronic disease, including diabetes, obesity, and PCOS.

By leveraging a vision foundation model called Depth Anything V2, the method can accurately segment crops across diverse environments—field, lab, and aerial—reducing both time and cost in agricultural ...

Image processing articles from across Nature Portfolio Image processing is manipulation of an image that has been digitised and uploaded into a computer. Software programs modify the image to make ...

To help organizations stay on top of the main developments in European digital compliance, Morrison Foerster’s European Digital Regulatory ...

Fine-grained image classification has witnessed significant advancements with the advent of deep learning and computer vision technologies. However, the scarcity of detailed annotations remains a ...

Supervised-Machine-Learning---Classification-IBM-Final-Project Title: Using Classification Models to Guide Dietary Choices for Diabetics from Real-World Food Data Project Optional: find your own data ...

Although Mamba models significantly improve hyperspectral image (HSI) classification, one critical challenge is the difficulty in building the sequence of Mamba tokens efficiently. This letter ...

Extensive experiments on multiple image processing tasks (e.g., image super-resolution (SR), JPEG artifact reduction, and image denoising) demonstrate the superiority of LIPT on both latency and PSNR.

Explore how predictive maintenance in robotics uses real-time data and machine learning to forecast failures, reduce downtime ...