Results 281 to 290 of about 499,146 (320)

Anchor objects guide spatial attention during visual search. [PDF]

open access: yesAtten Percept Psychophys
Souza-Wiggins M, Geng JJ.
europepmc   +1 more source

DeepSeek in Education: Exploring the Transformative Potential of AI‐Driven Educational Intelligence

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT The integration of artificial intelligence into education remains challenged by issues of scalability, interpretability, and multimodal adaptability. DeepSeek's AI‐driven educational tools show potential to improve educational applications through advances in reasoning efficiency, lightweight deployment, and multimodal fusion.
Jian Liao, Fan Sun, Yajie Liu, Yuli Hu
wiley   +1 more source

Full Science, Technology, Engineering, Arts and Mathematics Ahead: Leveraging Immersive Virtual Reality to Create Equitable and Transformative Learning Experiences

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT Immersive virtual reality (IVR) is widely promoted as a means of enriching learning in science, technology, engineering, arts and mathematics (STEAM), yet evidence of its capacity to foster equitable classroom experiences for marginalised groups remains limited, particularly outside traditional STEM domains.
Carly Waterhouse‐Boot   +1 more
wiley   +1 more source

Harnessing deep learning to quantify microstructural complexity in confocal images of plant protein gels

open access: yesFood Biomacromolecules, EarlyView.
Abstract Understanding plant protein gel microstructure is key to designing functional food systems. This study introduces a deep learning framework using a U‐Net model with a ResNet34 encoder to segment and quantify confocal laser scanning microscopy (CLSM) images of plant protein gels.
Zhi Yang
wiley   +1 more source

Assessing Large Language Models for Early Article Identification in Otolaryngology—Head and Neck Surgery Systematic Reviews

open access: yesHealth Care Science, EarlyView.
The search criteria for three systematic reviews were replicated using ChatGPTv3.5 and Bard. Outputs included author, title, publication year, and journal and were cross‐referenced with medical databases and compared to the original reviews. Large language models failed to replicate peer‐reviewed methodologies.
Ajibola B. Bakare   +4 more
wiley   +1 more source

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