Latest AI and machine learning research in geriatrics for healthcare professionals.
Neuro-Symbolic AI (NSAI) is an emerging paradigm that integrates neural networks with symbolic rea...
Accurate diagnosis of Alzheimer's disease (AD) requires effectively integrating multimodal data an...
Monocular 3D clothed human reconstruction aims to create a complete 3D avatar from a single image....
The well-being of older adults relies significantly on maintaining balance and mobility. As physic...
Soccer is a globally popular sporting event, typically characterized by long matches and distincti...
This paper presents the technical solution proposed by Huawei Translation Service Center (HW-TSC) ...
INTRODUCTION: Predictive models hold significant potential in healthcare, but their adoption in clin...
Multimodal neuroimaging provides complementary structural and functional insights into both human ...
Large language models (LLMs) struggle with maintaining coherence in extended conversations spannin...
Human pose estimation and action recognition have received attention due to their critical roles i...
In order for robots to be useful, they must perform practically relevant tasks in the real world, ...
Age prediction from medical images or other health-related non-imaging data is an important approa...
The rapid advancements in AI, scientific computing, and high-performance computing (HPC) have driv...
The proliferation of Internet of Things (IoT) devices has expanded the attack surface, necessitati...
We introduce Eagle 2.5, a family of frontier vision-language models (VLMs) for long-context multim...
Synthetic Electronic Health Records (EHRs) offer a valuable opportunity to create privacy preservi...
Recent advances in multi-modal large language models (MLLMs) have significantly improved object-le...
The widespread adoption of large artificial intelligence (AI) models has enabled numerous applicat...
Current approaches to chemical map generation from hyperspectral images are based on models such a...
Next-token prediction is the fundamental principle for training large language models (LLMs), and ...
Next-token prediction is the fundamental principle for training large language models (LLMs), and ...