Results 121 to 130 of about 36,773 (254)

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

Mapping human augmentation technologies for societal impact: A multilevel framework for classification and innovation potential. [PDF]

PLoS One
Elsamani Y, Mejia C, Kajikawa Y.
europepmc   +1 more source

Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets

Advanced Intelligent Discovery, EarlyView.
An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh, Anton Bolyachkin, Hajime Nakamura, Tadakatsu Ohkubo, Hossein Sepehri‐Amin   +4 more
wiley   +1 more source

Overcoming Big Data Interoperability Challenges Generated by Ubiquitous Devices Outside Traditional Health Systems: A Systematic Review Protocol. [PDF]

J Eval Clin Pract
Banik K, Patel J, Ibrahim ST, Katapally T.   +3 more
europepmc   +1 more source

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin, Yutian Feng, Wenrui Ma, Yuxin Su, Li Min, Juan Liu   +5 more
wiley   +1 more source

IEEE Semantic Technology [PDF]

IEEE Design & Test, 2013
openaire   +2 more sources

Correction: Synchronizing LLM-based semantic knowledge bases via secure federated fine-tuning in semantic communication. [PDF]

Front Artif Intell
Li L, He Y, Xu R, Chen B, Han B, Zhao Y, Li J.   +6 more
europepmc   +1 more source

Interactive Prompt‐Guided Robotic Grasping for Arbitrary Objects Based on Promptable Segment Anything Model and Force‐Closure Analysis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu, Yaxin Liu, Ruiqing Han, Kai Zheng, Yufeng Yao, Ming Zhong   +5 more
wiley   +1 more source

Knowledge graph-based intelligent data management and information innovation service model for university library systems. [PDF]

PLoS One
Liu F.
europepmc   +1 more source

Discovery of novel biomarkers and phenotypes by semantic technologies. [PDF]

BMC Bioinformatics, 2013
Trugenberger CA, Wälti C, Peregrim D, Sharp ME, Bureeva S.   +4 more
europepmc   +1 more source