Results 221 to 230 of about 131,744 (288)
This paper examines how generative artificial intelligence (AI) reproduces colonial visual tropes when tasked with representing Aotearoa New Zealand's historical past. Using OpenAI's Sora as a case study, the analysis investigates AI‐generated images prompted to depict (1) precolonial landscapes, (2) first contact between Māori and Europeans, (3 ...
Olli Hellmann
wiley +1 more source
A symbolic dataset for large language models to solve second kind Fredholm integral equations. [PDF]
Dana Mazraeh H +3 more
europepmc +1 more source
Large language models for bioinformatics
Abstract With the rapid advancements in large language model technology and the emergence of bioinformatics‐specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characteristics, and diverse applications.
Wei Ruan +54 more
wiley +1 more source
The role of Gestalt principles in the acquisition of non-adjacent dependencies in linguistic and non-linguistic sequences [PDF]
Smith, Kenneth, Sturm, J A
core +1 more source
Edge‐Oriented DoS/DDoS Intrusion Detection and Supervision Platform
ABSTRACT This work presents an Edge Node‐Oriented DoS/DDoS Intrusion Detection and Monitoring Platform, a novel anomaly detection system based on temporal analysis with machine learning (ML) and deep learning (DL) algorithms, specifically designed to operate on edge servers with limited resources.
Geraldo Eufrazio Martins Júnior +3 more
wiley +1 more source
Polymer‐Based Recycling Strategies for Plastic Waste: A Comprehensive Review
ABSTRACT Plastic pollution has emerged as one of the most pressing global environmental challenges, affecting ecosystems, human health, and climate through persistent waste accumulation and microplastic formation. This comprehensive review elaborates on recycling techniques based on polymer, including mechanical and chemical recycling, advantages and ...
Ishraga Glal‐Aldin Abdalla Awad
wiley +1 more source
Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review
Three key parts of our review. This review examines recent research on integrating machine learning with edge computing in healthcare. It is structured around three key parts: the demographic characteristics of the selected studies; the themes, tools, motivations, and data sources; and the key limitations, challenges, and future research directions ...
Amir Mashmool +7 more
wiley +1 more source
A systematic review of statistical learning in autism spectrum disorder. [PDF]
Bell RR +3 more
europepmc +1 more source
ABSTRACT Background Artificial Intelligence (AI) is increasingly discussed as a tool that can support speech and language therapy (SLT). However, clinical adoption of AI requires improved AI literacy among clinicians. AI is a rapidly evolving and often inconsistently defined field that can be difficult to navigate.
Ana Oliveira‐Buckley +3 more
wiley +1 more source
ABSTRACT The comprehension–production vocabulary gap is a well‐documented hallmark of language development; however, anecdotal evidence suggests that this asymmetry may be reduced in children with Williams syndrome (WS). Here, we use empirical data to characterise the comprehension–production gap and computational modelling to investigate potential ...
Dean D'Souza +3 more
wiley +1 more source

