Results 111 to 120 of about 770 (231)

Clarity Without Credibility? Human Versus AI Abstracts in Otolaryngology

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective This study evaluated whether otolaryngologists can distinguish between human‐ and machine‐written abstracts. The primary question was whether large language models (LLMs) produce abstracts comparable in clarity and usefulness to human‐authored work, and whether reviewers can identify authorship with accuracy.
Sholem Hack   +12 more
wiley   +1 more source

Syntaktická analýza založená na spolupracujících gramatikách [PDF]

open access: yes
This thesis deals with the issue of grammatical systems and syntax analysis. Thesis presents cooperatively distributed and parallel communicating grammatical systems.
Nehéz, Patrik
core  

Legal, ethical, and policy challenges of artificial intelligence translation tools in healthcare. [PDF]

open access: yesDiscov Public Health
van Kolfschooten H   +5 more
europepmc   +1 more source

Blinded by the Bot: Benchmarking GPT and Gemini Against Human Authors in Otolaryngology Reviews

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective To compare the quality of scientific review articles generated by two artificial intelligence systems, ChatGPT and Gemini, with those written by human authors in the field of otolaryngology. Methods Two otolaryngology topics, chronic rhinosinusitis and infantile subglottic hemangioma, were selected.
Sholem Hack   +8 more
wiley   +1 more source

Ecological scale mediates nonlinear relationships of animal nutrient excretion with dissolved organic matter

open access: yesJournal of Animal Ecology, EarlyView.
We show that nutrient excretion by vertebrates and invertebrates varies nonlinearly with dissolved organic matter concentration and composition and by taxonomic rank, with stronger patterns at the individual compared to the community level. Our findings highlight the importance of examining animal‐mediated nutrient cycling across taxa and ecological ...
Sandra Klemet‐N'Guessan   +3 more
wiley   +1 more source

Animal translations: AI and the intelligibility of non‐human worlds Traduire l'animal : l'IA et l'intelligibilité des mondes non humains

open access: yesJournal of the Royal Anthropological Institute, EarlyView.
Amid the general sense of worry that large language models will soon drown out human voices, some researchers are optimistic that machine learning will allow humans to listen to and understand animal voices to an unprecedented extent. As part of a broader project aimed at interspecies communication, a loosely connected set of animal behaviourists, AI ...
Courtney Handman
wiley   +1 more source

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