Results 101 to 110 of about 2,167,152 (317)
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.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
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.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
Advanced Intelligent Systems, EarlyView.This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari +6 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.Image classification plays a pivotal role in biomedical image analysis. Herein, it is shown that large multimodal models, such as GPT‐4, achieve superior performance in one‐shot learning, generalization, interpretability, and text‐driven image classification. Applications span tissue, cell type, cellular state, and disease classification, outperforming
Wenpin Hou +4 more
wiley +1 more source
Calidoscópio, 2010 This paper presents LEXPOR, a prototype of a morphological component of Portuguese capable of segmenting and classifying the constituents of complex words resulting from suffixation of -ismo, -iano, -ês and -mente as well as from prefixing the words so ...
Leonel Figueiredo de Alencar
doaj +1 more source
Artificial Intelligences: A Bridge Toward Diverse Intelligence and Humanity's Future
Advanced Intelligent Systems, EarlyView.Many discussions of artificial intelligence fail to address deeper questions being raised by advances in developmental biology, neuroscience, bioengineering, and philosophy of mind. Novel beings, including technologically and biologically augmented humans, engineered life forms, hybrots, and others, require tools of the emerging field of diverse ...
Michael Levin
wiley +1 more source
Izvestiâ Ûžnogo Federalʹnogo Universiteta: Filologičeskie Nauki, 2017 In the process of comprehension and interpretation of a literary text the reader relies on his/her general fund of knowledge. In modern research works covering the problems of text linguistics, this theoretical position becomes the object of much ...
Anastasia A. Borovkova
doaj +1 more source
Dynamic Feature Induction: The Last Gist to the State-of-the-Art
North American Chapter of the Association for Computational Linguistics, 2016 We introduce a novel technique called dynamic feature induction that keeps inducing high dimensional features automatically until the feature space becomes ‘more’ linearly separable.
Jinho D. Choi
semanticscholar +1 more source
LINGUISTIC AND EXTRA-LINGUISTIC FEATURES OF CINEMA DISCOURSE
Cinematography is one of the most influential means of mass communication. This unique cultural phenomenon is characterised by rapid development, global distribution and impact on the audience worldwide. This article will investigate about linguistic and extra-linguistic features of Cinema discourse by analyzing these factors in “Gone with the wind”.
openaire +4 more sources