Results 181 to 190 of about 131,744 (288)

EEG potentials associated with artificial grammar learning in the primate brain. [PDF]

Brain Lang, 2015
Attaheri A, Kikuchi Y, Milne AE, Wilson B, Alter K, Petkov CI.   +5 more
europepmc   +1 more source

Core Components of Effective Home Visiting Programmes and Parenting Interventions Delivered by Nurses and Midwives—A Scoping Review

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aim To investigate international evidence on home visits and parenting interventions delivered by nurses and midwives and to identify core components, such as intervention content, programme characteristics, contextual factors and implementation elements shared by effective interventions. Design Scoping Review.
Outi Savolainen, Hanna Rouvinen, Margaret M. Barry   +2 more
wiley   +1 more source

Auditory artificial grammar learning in macaque and marmoset monkeys. [PDF]

J Neurosci, 2013
Wilson B, Slater H, Kikuchi Y, Milne AE, Marslen-Wilson WD, Smith K, Petkov CI.   +6 more
europepmc   +1 more source

AI Mimicry and Human Dignity: Chatbot Use as a Violation of Self‐Respect

Journal of Applied Philosophy, EarlyView.
ABSTRACT This article investigates how human interactions with AI‐powered chatbots may offend human dignity. Current chatbots, driven by large language models, mimic human linguistic behaviour but lack the moral and rational capacities essential for genuine interpersonal respect.
Jan‐Willem van der Rijt, Dimitri Coelho Mollo, Bram Vaassen   +2 more
wiley   +1 more source

How artificial intelligence is shaping neuropsychology: A focus on cognitive assessment of neurodegenerative disorders

Journal of Neuropsychology, EarlyView.
Abstract Artificial intelligence (AI) and machine learning (ML) algorithms are revolutionising the world, and they have the potential to revolutionise neuropsychology as well. A particularly fruitful field for this revolution is the cognitive assessment of neurodegenerative disorders, such as Alzheimer's disease, Parkinson's disease, Mild Cognitive ...
Michele Scandola, Maria Esposito, Riccardo Guidotti, Daniele Romano   +3 more
wiley   +1 more source

Mixed-complexity artificial grammar learning in humans and macaque monkeys: evaluating learning strategies. [PDF]

Eur J Neurosci, 2015
Wilson B, Smith K, Petkov CI.
europepmc   +1 more source

Correction to: Effects of grammar complexity on artificial grammar learning [PDF]

Memory & Cognition, 2019
Esther Van den Bos, Fenna H. Poletiek
openaire   +1 more source

Developing and Evaluating the Use of ChatGPT as a Screening Tool for Nurses Conducting Structured Literature Reviews: Proof of Concept Study Results

Journal of Clinical Nursing, EarlyView.
ABSTRACT Aim To examine the feasibility of using a large language model (LLM) as a screening tool during structured literature reviews to facilitate evidence‐based practice. Design A proof‐of‐concept study. Methods This paper outlines an innovative method of abstract screening using ChatGPT and computer coding for large scale, effective and efficient ...
Alexandra Mudd, Tiffany Conroy, Siri Lygum Voldbjerg, Anita Goldschmied, Rebecca Feo, Lambert Schuwirth   +5 more
wiley   +1 more source

Artificial Intelligence Technologies Supporting Nurses' Clinical Decision‐Making: A Systematic Review

Journal of Clinical Nursing, EarlyView.
ABSTRACT Background The use of technology to support nurses' decision‐making is increasing in response to growing healthcare demands. AI, a global trend, holds great potential to enhance nurses' daily work if implemented systematically, paving the way for a promising future in healthcare.
Kristina Mikkonen, Saara Tuunainen, Anne Oikarinen, Miia Jansson, Brigitte Woo, Wentao Zhou, Wilson Tam, Anna‐Maria Tuomikoski, Pirjo Kaakinen, Jonna Juntunen, Erika Jarva   +10 more
wiley   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

Journal of Economic Surveys, EarlyView.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen, Tord Johan Espe, Kristoffer Grude, Morten Risstad, Rickard Sandberg   +4 more
wiley   +1 more source