An artificial intelligence (AI) model created by integrating clinical, molecular, and histopathological data significantly improved recurrence risk stratification in hormone receptor (HR)-positive, ...

This repository is the official Pytorch implementation for the paper Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning. If you have any questions, please ...

(WJW) – 15 people made the cut to be our wild and wacky contestants on the 2025 FOX 8 Turkey Bowl. Each year, FOX 8 accepts video submissions from potential contestants. Calvin Butler wasn’t in our ...

Abstract: Multi-modal hashing achieves low storage costs and high retrieval speeds by using compact hash codes to represent complex and heterogeneous multi-modal data, effectively addressing the ...

Abstract: Multimodal grasping has emerged as a promising strategy to enhance the grasping diversity of grippers in response to the rapid expansion of application scenarios. Among various designs, the ...

In the early stages of AI adoption, enterprises primarily worked with narrow models trained on single data types—text, images or speech, but rarely all at once. That era is ending. Today’s leading AI ...

What if the future of AI wasn’t just about faster responses or smarter algorithms, but about creating interactions so natural, they feel almost human? Enter Grok 4.1, the latest breakthrough in ...