Results 61 to 70 of about 354,528 (296)
THE "POWER" OF TEXT PRODUCTION ACTIVITY IN COLLABORATIVE MODELING : NINE RECOMMENDATIONS TO MAKE A COMPUTER SUPPORTED SITUATION WORK [PDF]
Language is not a direct translation of a speaker’s or writer’s knowledge or intentions. Various complex processes and strategies are involved in serving the needs of the audience: planning the message, describing some features of a model and not others,
Alamargot, Denis, Andriessen, Jerry
core
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
An event-related potential (ERP) study demonstrated that construction-based pragmatic constraints in Chinese (e.g., lian…dou that constrains a low-likelihood event and is similar to even in English) can rapidly influence sentence comprehension and the ...
Chuanli Zang +12 more
doaj +1 more source
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 +8 more
wiley +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 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
On the relations over representations of linguistic structure and grammars
A familiar and fairly well-known distinction exists between a derivational type of grammar (for example, mainstream Generative Grammar) and a representational type of grammar (Lexical-Functional Grammar, Head-Driven Phrase Structure Grammar, etc.).
Prakash Mondal
doaj +1 more source
Linguistic Accuracy in Spanish Adolescent Learners’ EFL Writings
This paper presents an exploratory study of linguistic accuracy in Spanish adolescent students’ writings in English as a foreign language (EFL) (N = 54) by examining learner errors in morphology (grammar), lexis and syntax.
María Dolores García-Pastor
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
Cognitive Biases, Linguistic Universals, and Constraint‐Based Grammar Learning [PDF]
AbstractAccording to classical arguments, language learning is both facilitated and constrained by cognitive biases. These biases are reflected in linguistic typology—the distribution of linguistic patterns across the world's languages—and can be probed with artificial grammar experiments on child and adult learners.
Jennifer, Culbertson +2 more
openaire +2 more sources

