Results 61 to 70 of about 87,912 (259)
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin +4 more
wiley +1 more source
Linguistic association experiment: From theory to practice (linguistic and psychological aspect) [PDF]
The article describes the linguistic association experiment, which is one of the most common methods of experimental research of language and consciousness. The potential of the linguistic association experiment is revealed by the example of the analysis
Makhaev Mair +2 more
doaj +1 more source
Language‐Guided Robot Grasping Based on Basic Geometric Shape Fitting
This article presents a language‐guided, model‐free grasping framework that integrates multimodal perception with primitive‐based geometric fitting. By explicitly modeling object geometry from RGB‐D data, the method enables semantically controllable grasp pose generation and achieves robust performance in both structured and cluttered real‐world ...
Qun Niu +5 more
wiley +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
HOW HAS OPTIMALITY THEORY ACHIEVED THE GOALS OF LINGUISTIC THEORY
Optimality Theory (OT) is a grammatical framework of recent origin presented by Prince and Smolensky in 1993. The central idea of Optimality Theory is that surface forms of language reflect resolutions of conflicts between competing constraints.
Israa .B Abdurrahman
doaj +1 more source
ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web sources, it quickly clusters researchers into coherent teams and generates collaborative ideas using large language models. Validation on NSF‐funded projects shows
Akshay Vilas Jadhav +2 more
wiley +1 more source
Abstract Mobile technologies have become significant resources for crisis communication and social support in recent years. However, despite empirical evidence pointing to the centrality of these technologies for parenthood in everyday life, it is yet unknown how parents' coping resources play a role in the digital environment.
Daphna Yeshua‐Katz +2 more
wiley +1 more source
The contributions in Klosa (2013a) provide information on various aspects of the design of morphological data for (German) language dictionaries. Bergenholtz and Gouws (2013), however, reject most of these contributions as sources lexicographers could ...
P.H. Swanepoel
doaj +1 more source

