Results 101 to 110 of about 80,417 (346)
This paper introduces a deep-learning approach to photographic style transfer that handles a large variety of image content while faithfully transferring the reference style.
Bala, Kavita +3 more
core +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Hallucinations in automated texts – A critical view on the emerging terminology
The term hallucination is used in AI discourse to describe AI-generated outputs that are unfounded and lack backing in input data, a phenomenon which occurs frequently enough for the academic community to shun widespread collaboration with AI writing ...
Annette Gerstenberg
doaj +1 more source
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
Introduction. The relevance of the study lies primarily in the fact that the increasingly active appeal of the widest circles of users to the generation of texts of different genres, properties and volumes using the so-called LLM (Large Language Model ...
S. V. Gusarenko, M. K. Gusarenko
doaj +1 more source
Appendix: Scale for Rating Olfactory Hallucinations and Other Olfactory Experiences [PDF]
openalex +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Avatar Therapy for Persistent Auditory Verbal Hallucinations in an Ultra-Resistant Schizophrenia Patient: A Case Report [PDF]
Laura Dellazizzo +4 more
openalex +1 more source
This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley +1 more source
Dysjunktywizm i natura percepcyjnej relacji
DISJUNCTIVISM AND THE NATURE OF PERCEPTUAL RELATIONSummaryThis paper surveys selected (though arguably representative) versions of metaphysicaland epistemological disjunctivism.
Paweł Zięba
doaj +1 more source

