The rapid growth of digital banking, instant payments, mobile applications and card-not-present transactions has improved access to financial services while simultaneously widening the attack surface for fraud.Conventional rulebased systems remain indispensable for regulatory control, yet they are often unable to recog...
Unknown authors· International Journal of Dru...· 0 citations
This chapter examines how artificial intelligence (AI) changes labor markets and the distribution of income. It begins by distinguishing skill-biased, routine-biased, and task-biased technological change, then explains why generative AI requires a further shift in emphasis from occupations to tasks, workflows, and orga...
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
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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
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
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Microsoft Research Blog· microsoft.comOct 22, 2026
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
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
