We release Mono-InternVL, a monolithic multimodal large language model (MLLM) that integrates visual encoding and textual decoding into a single LLM. In Mono-InternVL, a set of visual experts is ...

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

Abstract: Underwater optical images inevitably suffer from various degradation factors such as blurring, low contrast, and color distortion, which hinder the accuracy of object detection tasks. Due to ...

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

Abstract: The ability to distinguish whether an image is generated by artificial intelligence (AI) is a crucial ingredient in human intelligence, usually accompanied by a complex and dialectical ...

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 Kidney Intelligent Diagnosis System (KIDS) uses retinal images for noninvasive CKD diagnosis, reducing the need for renal biopsies. The model achieved high accuracy, with an AUC of 0.839-0.993 for ...

Physicists are exploring a quantum-mechanical approach to making smaller radio wave detectors. Physicists have created a new type of radar that could help improve underground imaging, using a cloud of ...