A single plant costs U.S. ranchers $35 million a year. Now, a team of researchers is using artificial intelligence to keep it in check.

Explore the AI vs. human intelligence comparison with the latest data. See where AI leads, where humans excel, and how the ...

The proposed pneumonia diagnosis method based on the Fast-YOLO deep learning model integrates image enhancement techniques with network structure optimization, significantly improving the efficiency ...

Synthetic aperture radar (SAR) image target detection and recognition (SAR-TDR) tasks have become research hot spots in the remote sensing application. These targets include ships, vehicles, aircraft, ...

However, this diagnostic modality requires a multifaceted approach. Objective To develop a convolutional neural network (CNN)-based model (PMPD, Pancreatic cancer Metastasis Prediction Deep-learning ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Among diverse multi-ethnic populations with diabetes, a retinal image-based AI-deep learning system showed its potential for detecting DKD and differentiating isolated diabetic nephropathy from NDKD ...

Image segmentation represents a fundamental step in analyzing very high-spatial-resolution (VHR) remote sensing imagery. Its objective is to partition an image into segments that best match with ...

The integration of deep learning in neuroimaging enhances diagnostic capabilities, offering new insights into neurological disorders and treatment responses.