Results 121 to 130 of about 186,001 (296)

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani   +3 more
wiley   +1 more source

The Performance and Reliability of Generative AI Models in Software Development: A C# Based Analysis

open access: yesMANAS: Journal of Engineering
The effectiveness of generative artificial intelligence models in software development is determined not only by their ability to generate correct solutions but also by their adherence to quality metrics and their resilience to exceptional scenarios.
Abdulkadir Şeker, Halil Kaynarpınar
doaj   +1 more source

A legal perspective on child support obligation after divorce: The Vietnamese case

open access: yesCTU Journal of Innovation and Sustainable Development, 2023
Parents are legally obligated to pay child support; if they do not live with their child Upon divorce. The obligation to support the child following a divorce is a central provision of Viet Nam's 2014 Marriage and Family Act and a significant aspect of ...
Linh Thi My Nguyen   +2 more
doaj  

Farmers’ Protests in Germany: Media Coverage and Types of Bias

open access: yesAgribusiness, EarlyView.
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley   +1 more source

Rich Data Versus Quantity of Data in Code Generation AI: A Paradigm Shift for Healthcare

open access: yesBlockchain in Healthcare Today
In the context of Code Generation AI (Code Gen AI), “rich” and “quality” data refer to datasets that are not only syntactically and structurally sound but also context-aware, domain-specific, and semantically aligned with the target application.
Muthu Ramachandran, Steven Fouracre
doaj   +1 more source

Is Precision Agriculture Technology Adoption Persistently Overestimated?

open access: yesAgribusiness, EarlyView.
ABSTRACT Precision agriculture is sometimes assumed to diffuse steadily over time, and industry planning frequently extrapolates early adoption trends forward. This study evaluates the accuracy of such expectations by comparing agricultural input dealers' forecasts of future service offerings with the actual levels of offerings that dealerships ...
Trey Malone   +5 more
wiley   +1 more source

Aurel_AI: Automating an Institutional Help Desk Using an LLM Chatbot [PDF]

open access: yesJournal of Systemics, Cybernetics and Informatics
The Aurel_AI research project was born from the need to implement a virtual help desk for a university, providing accurate organizational information to both internal and external clients.
Diego Ordóñez-Camacho   +3 more
doaj  

APPLICATION OF LLM IN UAV ROUTE PLANNING TASKS TO PREVENT DATA EXCHANGE AVAILABILITY VIOLATIONS

open access: yesКібербезпека: освіта, наука, техніка
This paper presents a novel approach to unmanned aerial vehicle (UAV) route planning under conditions of cyber-physical threats that affect system availability.
Олексій Новіков   +4 more
doaj   +1 more source

Densing law of LLMs

open access: yesNature Machine Intelligence
Abstract Large language models (LLMs) have emerged as a milestone in artificial intelligence. The scaling law indicates that the performance of LLMs can continually improve as the model size increases, which poses challenges for training and deployment.
Chaojun Xiao   +9 more
openaire   +2 more sources

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

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