A research team has developed a novel AI model, ILCD, and a supporting dataset, CDwPK-VQA, to help early diagnose crop diseases.

The rapid advancement of medical imaging technologies requires the development of advanced, automated, and interpretable diagnostic tools for clinical decision-making. Although convolutional neural ...

For decades, medium-range weather forecasting—predicting conditions 1 to 5 days ahead—has relied heavily on traditional ...

In neuropathological diseases such as Alzheimer's Disease (AD), neuroimaging and Magnetic Resonance Imaging (MRI) play crucial roles in the realm of Artificial Intelligence of Medical Things (AIoMT) ...

Image processing has emerged as a crucial technology in agriculture, facilitating tasks such as crop monitoring, disease detection, and yield estimation. Python, with its extensive libraries and tools ...

“These outcomes are in agreement with those of an earlier pre-clinical study in a moderate TBI animal model, both studies demonstrated protective effects of ALPHA-1062, providing support for the ...

The COVID-19 pandemic has underscored the critical need for diagnostic methods that are both rapid and accurate. Chest X-ray (CXR) imaging is a valuable resource for detecting respiratory illnesses, ...

Google announced Imagen 4 and Imagen 4 Ultra, the newest image generation models coming to Gemini - here are a few amazing samples.

Google has unveiled its latest text-to-image models Imagen 4 and Imagen 4 Ultra with the usual promise of "significantly improved text rendering" over the previous version, Imagen 3.

The CNN architecture used for testing included three blocks of convolutions, which were each preceded by batch normalization, max pool, and dropout layers, and then concluded by a dense fully ...