Results 31 to 40 of about 287,230 (232)
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
This study reveals a metabolic signaling axis in the OSCC microenvironment where palmitic acid (PA) drives the activation of CAFs. PA uptake triggers CEBPG‐dependent epigenetic remodeling to upregulate ERN1 and TMBIM6, thereby mitigating ER stress. This adaptive program sustains CAF survival and the pro‐metastatic phenotype, establishing this pathway ...
Yiling Duan +6 more
wiley +1 more source
Breakthroughs and advances in translation technology by virtue of AI-powered MT tools and techniques contributed significantly to providing near-perfect translation.
Saleh Al-Salman, Ahmad S. Haider
semanticscholar +1 more source
An implantable phototriggered prodrug depot patch (iPDP) is presented that enables actively programmable drug release post‐implantation. Covalently conjugated prodrug ensures minimal leakage; illumination parameters serve as a code to precisely control dose per release.
Haipeng Lu +10 more
wiley +1 more source
Through collaboration in the interface between social sciences, engineering, arts and humanities, this research explores how global challenges can be tackled using interdisciplinary approaches.
Dr. Meenu Gupta +5 more
semanticscholar +1 more source
As a pilot phase of the Central Asian Genomic Diversity Project, whole‐genome sequencing of 166 individuals from 20 Central Asian and Afghan Hazara populations reveals fine‐scale substructure shaped by repeated trans‐Eurasian migration and admixture. Integrated analyses uncover post‐admixture adaptation, archaic introgression, and medically relevant ...
Mengge Wang +11 more
wiley +1 more source
Introduction: The Dawn of the Modern Humanities[-]Rens Bod[-][-]Part I. Linguistics and Philology[-][-]1. The Rise of Philology: The Comparative Method, the Historicist Turn and the Surreptitious Influence of Giambattista Vico[-]Joep Leerssen[-][-]2 ...
R. Bod, J. Maat, T. Weststeijn
semanticscholar +1 more source
Artificial intelligence in applied (linguistics): a content analysis and future prospects
The integration of Artificial Intelligence (AI) into applied (linguistics) has sparked significant interest due to its transformative potential in language teaching, learning, and research. With the advent of AI language models such as ChatGPT and GPT-4,
Obied Alaqlobi +3 more
semanticscholar +1 more source
Multiscale Circuit Architecture Associated With Memory Dysfunction in Temporal Lobe Epilepsy
A multiscale precision‐mapping framework reveals that memory impairment in temporal lobe epilepsy arises from the convergence of focal medial temporal pathology, strategic white matter disconnection, and limbic‐centered metabolic network dysfunction.
Jiajie Mo +12 more
wiley +1 more source

