The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral ...
Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
Researchers at MiroMind AI and several Chinese universities have released OpenMMReasoner, a new training framework that improves the capabilities of language models in multimodal reasoning. The ...
Abstract: Utilizing deep learning to fuse multimodal data for millimeter-wave beam prediction can achieve significant performance improvement compared to the conventional unimodal approaches. However, ...
RTL coding is a critical step in the development of semiconductors, but many would argue it is not the most difficult. Things become a lot more complex as you get closer to implementation, and as the ...
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.
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 ...