In an AI-supported task, a student may explain a weak comparison once it has been identified, yet fail to notice a similar problem without a reminder. A decision about further help therefore needs evidence about what the student did without being prompted. We examine such decisions in English-medium university argument...
Chen Wang· International Theory and Pra...· 0 citations
Provides the survey instrument, dataset, and frequencies used for the 2026 Open Source Software Development in the Generative AI Era Report. Please consult the "Introduction to the dataset" pdf document first as it explains the content found in each of the other files. Report available at: https://www.linuxfoundation.o...
Linux Foundation Research· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence (AI) is increasingly used to automate and optimize software testing, but the evidence is distributed across heterogeneous testing activities, AI techniques, and evaluation measures. This study maps AI-driven software-testing research and translates the evidence into capabilities relevant to a Te...
This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/23485663. Does the introduction explain the objective of the research presented in the preprint? Yes Are the methods well-suited for this research? Somewhat appropriate T...
Chocolate Lobster, Nitya Khetarpal, Ayobami Adegbenro et al.· Zenodo (CERN European Organi...· 0 citations
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The rapid expansion of Internet of Things (IoT) networks has introduced unprecedented connectivity and functionality across domains, but it has also exposed systems to increasingly sophisticated and evolving cyber threats. Traditional intrusion detection systems (IDS) are often inadequate for handling the complexity of...
Chathuranga Sampath Kalutharage· Edinburgh Napier Research Re...· 0 citations
Purpose. The software industry both builds artificial intelligence and was among the first to use it on its own work, through coding assistants. This article asks where AI stands in software in 2026, what controlled studies say about developer productivity, and where the industry may be by about 2035. Design and method...
P. Ghorbani· Zenodo (CERN European Organi...· 0 citations
Purpose. Banks were among the first industries to use machine learning at scale, in credit scoring and fraud detection, and are now among the first to deploy generative AI. This article asks what is known about the results, what slows the next stage, and where banking may be by about 2035. Design and methods. A review...
P. Ghorbani· Zenodo (CERN European Organi...· 0 citations
Enterprise systems are now often spread across a range of hidden technical and organizational dependencies; technical debt can accumulate, configurations can change, and failures can propagate. Redundancy or post-incident recovery alone is not enough for resilience design; such environments require continuously updated...
Pradip Baral· World Journal of Advanced En...· 0 citations
Introduction: Near-perfect crop-label accuracy can conceal uncertainty, perturbation sensitivity, and weak explanations. This study evaluates these reliability dimensions without treating benchmark classification as an agronomic recommendation. Materials and methods: Ten classifiers were evaluated using five matched st...
Kwan Hong TAN· Academia AI and Applications· 0 citations
A conceptual framework linking data quality assurance, feature engineering, model training and reliability testing, and deployment to an agent population is proposed, closed by a cross-agent monitoring and feedback loop.
Harsh Verma· European journal of computer...· 0 citations
The growth of enterprise data volumes across the 2000s and 2010s pushed traditional batch-oriented data processing infrastructures past their practical limits, motivating a sustained shift toward distributed, stream-based architectures capable of supporting real-time analytics and machine learning (ML). This article sy...
Harsh Verma· European journal of computer...· 0 citations
The combination of multi-seed LOSO validation, seed-level variability analysis, baseline benchmarking, and systematic XAI auditing constitutes a pre-deployment diagnostic framework for identifying generalization risks in agricultural computer-vision systems operating under spatial uncertainty.
J. R. Hechavarría-Hernández, R. D. Ramos-Ciprián, R. Batista-Jorge· Discover Artificial Intellig...· 0 citations
A model developed by researchers at MIT and Boston Children's Hospital adjusts scans on the fly to track fetal movement, potentially sparing families repeat hospital visits.
MIT News · Artificial Intelligence· news.mit.eduOct 18, 2026
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
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