🔥 🔥 🔥 The latest results of multimodal large language models on the MIntRec dataset have been released on our MMLA benchmark, with an accuracy score of over 84%. Enjoy! In real-world conversational ...

NVIDIA’s Cosmos 3, introduced at GTC Taipei, represents a significant leap in multimodal AI by unifying five distinct data types, text, images, videos, audio and actions, into a single framework. This ...

Diagnostic procedures in clinical medicine rely on integrating multiple health sources set into a personal context that includes information on medical history and environmental exposure. Conventional ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Abstract: Current adversarial attacks pose a serious threat to the robustness of visual-language models (VLMs), including vision-language pre-trained models (VLPMs) and multimodal large language ...

Lee Kang-wook, CAIO at KRAFTON, has shared the development story behind 'PUBG Ally,' the AI teammate introduced to ...

Hidden code in Google Photos suggests Google is preparing an AI-powered Video Remix feature that could transform existing ...

TwelveLabs' Danny Nicolopoulos talks to theCUBE about how the company's video AI tools have found a wider range of use cases ...

Abstract: Target detection is a critical task in interpreting aerial images. Small target detection, such as vehicles, is challenging. Different lighting conditions affect the accuracy of vehicle ...

4M is a framework for training "any-to-any" foundation models, using tokenization and masking to scale to many diverse modalities. Models trained using 4M can perform a wide range of vision tasks, ...

Explore the leaked benchmarks of Gemini 3.5 Pro, highlighting Google's challenges in coding and reasoning compared to top AI ...