Results 71 to 80 of about 5,277 (258)

Implementing Artificial Intelligence in Iranian Teacher Education: Tools and Challenges [PDF]

open access: yesJournal of Philosophical Investigations
Objective: The present study aimed to implement artificial intelligence in teacher education in Iran: tools and challenges.Methods: This study is a qualitative narrative scoping review in terms of its applied purpose and approach.
Asadollah Khadivi, Sohrab Yazdani
doaj   +1 more source

On the track of Artificial Intelligence: Learning with Intelligent Personal Assistants

open access: yesInternational Journal of Human Sciences, 2016
<p>In a technology dominated world, useful and timely information can be accessed quickly via Intelligent Personal Assistants (IPAs).  By the use of these assistants built into mobile operating systems, daily electronic tasks of a user can be accomplished 24/7.
Goksel Canbek, Nil, Mutlu, Mehmet Emin
openaire   +3 more sources

Magneto‐Sono‐Enhanced Nanozyme Catalysis Drives ROS‐Mediated Pathogen Killing and Mitophagy‐Linked Inflammation Control in Bacterial Pneumonia

open access: yesAdvanced Science, EarlyView.
Nebulized BN@NF nanozymes integrate boron nanosheets with Nd‐doped iron phosphide to form a sono‐magneto‐responsive Z‐scheme heterostructure. Under ultrasound and magnetic activation, BN@NF amplifies ROS generation, eradicates bacteria, disrupts biofilms, and reshapes pulmonary inflammation through NF‐κB suppression, mitophagy promotion, and M1‐to‐M2 ...
Xiaofeng Luo   +6 more
wiley   +1 more source

Virtual resonance: analyzing IPA usage intensity under COVID-19's isolating canopy

open access: yesScientific Reports
The widespread adoption of smartphones coupled with advancements in artificial intelligence has significantly propelled the use of intelligent personal assistants (IPAs).
Hyeon Jo, Eun-Mi Baek
doaj   +1 more source

A Facial Foundation Model for Clinical Biomarker Prediction and Real‐World Mobile Deployment

open access: yesAdvanced Science, EarlyView.
MedicalFaceFound is a facial foundation model developed through three‐stage progressive pre‐training, adapting representations from general vision to facial structure and clinical phenotypes. Using a single facial image, it estimates 62 biomarkers across multiple physiological systems and supports downstream risk prediction for cardiovascular ...
Tingfeng Xu   +15 more
wiley   +1 more source

An Expertise Transfer Framework For Autonomous Surgical Assistance

open access: yesAdvanced Science, EarlyView.
This study introduces an expertise transfer framework for procedure‐spanning autonomous surgical assistance. By emulating expert logic through hierarchical perception, attention modeling, and knowledge graph‐based decision‐making, the system provides near‐expert surgical view assistance.
Yuan Gao   +12 more
wiley   +1 more source

Performativité de l’intention : de l’acte de langage à l’acte de dialogue automatisé

open access: yesSocio-anthropologie
In various forms—intelligent personal assistants, chatbots, large language models (LLMs)—systems for human-machine dialogue have seen their use expand among the general public in recent years, constituting one of the most notable manifestations of ...
Nicolas Santolaria
doaj   +1 more source

Consumer Acceptance of New Sustainable Food Technologies: Upcycling Technology, Biostimulants, and Artificial Intelligence

open access: yesAgribusiness, EarlyView.
ABSTRACT Food systems have a significant impact on environmental sustainability, underscoring the need for innovative technologies to support more sustainable agricultural methods. However, the adoption of these technologies hinges on consumer acceptance, making the analysis of consumer perceptions essential.
Greta Castellini, Guendalina Graffigna
wiley   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang   +5 more
wiley   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

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