Input and expertise from radiologists can help develop better and more trustworthy artificial intelligence (AI) tools, new ...

[CVPR 2025] Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training - OpenGVLab/Mono-InternVL ...

The core of big data models lies in the synergy of algorithm innovation, computational power support, and data governance to ...

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Abstract: Underwater optical images inevitably suffer from various degradation factors such as blurring, ...

Add a description, image, and links to the image-classification-tensorflow-plant-disease topic page so that developers can more easily learn about it. Curate this topic ...

Meanwhile, large multimodal models (LMMs) have exhibited immense vision-language capabilities on various tasks, bringing the potential for explainable fake image detection. Therefore, we pioneer the ...

The rapid advancement of artificial intelligence — particularly the training of large-scale models that are used to power many of today’s widely used applications — is driving renewed growth in ...

The use of retinal images can help investigators noninvasively identify chronic kidney disease and assess patient prognosis.

Physicists are exploring a quantum-mechanical approach to making smaller radio wave detectors.