Accurate risk stratification and treatment selection remain central challenges in cancer care. Rapid advances in medical imaging, digital pathology, and ...

Build reliable multimodal AI apps with text, voice, and vision using shared context, smart orchestration, routing, and ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

If you want a new method to help you study better, NotebookLM helps turn your lecture notes into flashcards, quizzes, and even a podcast.

LLaVA-OneVision-1.5-RL introduces a training recipe for multimodal reinforcement learning, building upon the foundation of LLaVA-OneVision-1.5. This framework is designed to democratize access to ...

Abstract: The design of effective multimodal feature fusion strategies is the key task for multimodal learning, which often requires huge computational costs with extensive expertise. In this paper, ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

ABSTRACT: This study explores the integration of multimedia tools in classrooms across Kosovo, highlighting the challenges teachers face and the impact of digital resources on student learning.

This week Durban's Clairwood residents were informed about how a multimodal transport network and the Cato Ridge inland dry port could help prevent the suburb from becoming a logistics hub. Warwick ...

Abstract: Multimodal learning analytics (MMLA) is an emerging field of learning analytics and promises a more comprehensive analysis of the learning process thanks to advances in technological devices ...

The CLIP framework has become foundational in multimodal representation learning, particularly for tasks such as image-text retrieval. However, it faces several limitations: a strict 77-token cap on ...