Results 131 to 140 of about 33,394 (282)
Enhancing Business-Specific Phishing Chat Detection via Few-Shot Learning LLM Augmentation
Phishing through one-on-one chat messages with customers poses significant threats to businesses, yet current detections are hindered by a lack of realistic, context-specific datasets.
Saran Hansakul, Nawaporn Wisitpongphan
doaj +1 more source
La educación nada esta escrito y finalizado, siempre hay espacios de oportunidad, de transformación y de cambio, las nuevas tecnologías día a día se afianzan y crecen en alcance, hoy vamos hablar de esas tecnologías que no siempre son buenas en la formación académica o en la educación, la transformación constante de la tecnología precisa el uso de los ...
openaire +1 more source
Abstract Generative AI is increasingly positioned as a peer in collaborative learning, yet its effects on ethical deliberation remain unclear. We report a between‐subjects experiment with university students (N = 217) who discussed an autonomous‐vehicle dilemma in triads under three conditions: human‐only control, supportive AI teammate or contrarian ...
Yueqiao Jin +7 more
wiley +1 more source
ABSTRACT This study aims to explore how Generative Artificial Intelligence is reshaping human innovation practices at the front end of innovation. The front end of innovation encompasses opportunity identification and ideation activities and has always been considered a ‘human’ phase.
Francesca Bellesia +2 more
wiley +1 more source
Background Body image and eating behaviours are common areas of concern for early adolescents. Artificial Intelligence (AI) interactions are becoming commonplace, including with chatbots that provide human‐like communication. Adolescents may prefer using chatbots to anonymously ask sensitive questions, rather than approaching trusted adults or peers ...
Florence Sheen +6 more
wiley +1 more source
Utilization of Chat GPT Artificial Intelligence (AI) in Student’s Learning Experience Gen-Z Class
Technology presents data very quickly, if students do not get enough assistance from lecturers in analytical thinking, the students will present data without studying further or it will convince them that what is presented is justifiable.
Sony Zulfikasari +2 more
doaj +1 more source
Emerging applications of large language models in ecology and conservation science
Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides +5 more
wiley +1 more source
AI-driven translations for kidney transplant equity in Hispanic populations
Health equity and accessing Spanish kidney transplant information continues being a substantial challenge facing the Hispanic community. This study evaluated ChatGPT’s capabilities in translating 54 English kidney transplant frequently asked questions ...
Oscar A. Garcia Valencia +8 more
doaj +1 more source
Objetivo: Predecir si los estudiantes universitarios harán un uso eficiente de la Inteligencia Artificial (IA) en los próximos años. Método: Se utiliza una regresión logística binaria, un análisis estadístico que permite pronosticar el resultado de ...
Angel Bartolome Muñoz de Luna +1 more
doaj +1 more source
Efficient triage and improved patient care: Five years of teledermatology in Styria
Summary Background To improve dermatological care in underserved rural regions, the “Teledermatology in Styria” project launched on January 1st, 2020. General practitioners (GP) were digitally connected with dermatologists (DERM), supported by Styrian Health Fund, Styrian Medical Association, Austrian Health Insurance Fund Styria, Universities ...
Arzberger Edith +4 more
wiley +1 more source

