Results 11 to 20 of about 95 (92)

An Offline Corpus for Legal Translations into Italian: a Case Study with a Land Lease Agreement

Altre Modernità, 2020
Offline corpora are claimed to be helpful in technical translations. This paper explores whether a corpus of Italian land lease agreement samples and the civil code can be supportive in legal translations.
Patrizia Giampieri
doaj  

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Watermarking Fine-Tuning Datasets for Robust Provenance

Applied Sciences
Large Language Models are often fine-tuned on proprietary corpora, motivating reliable provenance signals. A corpus-level watermark method is proposed for fine-tuning datasets that survives training and common text transformations.
Ivo Gergov, Georgi Tsochev
doaj   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
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, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Gene Correction Enhances Dopaminergic Cell Therapy in a Nonhuman Primate Model of Parkinson's Disease

Advanced Science, EarlyView.
LRRK2‐mutant induced pluripotent stem cells (iPSCs) were derived from a patient with Parkinson's disease (PD). Using CRISPR/Cas9–mediated gene editing, the pathogenic LRRK2 mutations were precisely corrected, and isogenic dopaminergic neural progenitor cells (DA‐NPCs) were subsequently generated.
Qing Yan, Chongchong Xu, Jiangmei Gao, Pu Wang, Qingling Wu, Ying Jin, Binyan Lu, Mu Li, Mingting Shao, Bihai Li, Zhenghui Su, Yijng Zhang, Jianhuan Chen, Haojie An, Mengyao Huang, Xiaoji Zhuang, Yuhui Shen, Fenglin Wang, Nana Xu, Yiyan Liu, Lei Tang, Xiuling Zhong, Minyan Zhong, Jiecong Chen, Zhenhuang Wang, Xingrong Luo, Sheng Liu, RuiFeng Liu, Ling Zhang, Junhua Rao   +29 more
wiley   +1 more source

Trends and Limitations in Transformer-Based BCI Research

Applied Sciences
Transformer-based models have accelerated EEG motor imagery (MI) decoding by using self-attention to capture long-range temporal structures while complementing spatial inductive biases.
Maximilian Achim Pfeffer, Johnny Kwok Wai Wong, Sai Ho Ling   +2 more
doaj   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill   +3 more
wiley   +1 more source