Unit IV – AI in Research, Generative AI and Prompt Engineering is an Open Educational Resource (OER) presentation developed for the undergraduate AI Fundamentals course. This presentation introduces the use of Artificial Intelligence in experimentation and multidisciplinary research, followed by the fundamentals of Gen...
Venkata Krishnaveni Chennuru· Zenodo (CERN European Organi...· 0 citations
Artificial Intelligence (AI) has become a foundational capability for modern intelligent enterprises,transforming business operations, customer engagement, decision-making, supply chains, cybersecurity, enterprise architecture, and digital innovation. Organizations increasingly deploy Generative AI, Large Language Mode...
Sanjeeve Kumar Gajadi· Zenodo (CERN European Organi...· 0 citations
This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/22693218. Does the introduction explain the objective of the research presented in the preprint? Yes The introduction states its objective directly rather than making the...
Mayur Jain· Zenodo (CERN European Organi...· 0 citations
This paper develops a theoretical model of how responsibility structures may come under pressure for reconfiguration as non-human reactive entities—including generative AI, autonomous control systems, recommendation algorithms, and other computational systems—participate continuously in social operations. Rather than a...
Kouhei Misugi· Zenodo (CERN European Organi...· 0 citations
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Principal component analysis is described as extracting the main direction in the data. This paper asks whether the data alone fix that direction──the answer is that they do not: the units do. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and no new...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Principal component analysis is described as extracting the main direction in the data. This paper asks whether the data alone fix that direction──the answer is that they do not: the units do. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and no new...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
The rapid expansion of Nigeria's digital lending industry has led to the development of effective credit risk assessment systems. The low credit histories and strong information asymmetry were two of the numerous issues that the traditional credit scoring algorithms had to deal with. The impact of artificial intelligen...
Hauwa Modu Kumshe, Haziel Yusuf Hassan, Mohammed Umar Tugga et al.· Global journal of economic a...· 0 citations
Artificial-intelligence-based management systems used by the world's leading commercial banks to assess credit risk and detect problem loans at an early stage are analyzed. The role and potential of Machine Learning, Deep Learning, Big Data Analytics, Explainable AI (XAI), Early Warning Systems (EWS), Behavioral Scorin...
Jamolov Alovuddin· Zenodo (CERN European Organi...· 0 citations
The GAA-LS provides a psychometrically supported instrument for assessing students’ assessment-specific capacity to use GenAI responsibly within assessment contexts and contributes to applied measurement, feedback design, and academic integrity policy in AI-supported higher education.
Jun-Tao Nie, Ze-Yu Zhang, Xiao-Mei Lu et al.· Frontiers in Education· 2 citations
The swift advancement of multimodal artificial intelligence (AI) has changed the face of integration of diverse data types, such as medical images, texts, biosignals, genomics, wearables, and clinical data in the field of medicine. However, the deployment of reliable, secure, and scaled multimodal healthcare systems is...
The landscape of unimodal data modalities used in oncological practice including clinical records, multi-scale imaging, and multi-omics signatures is examined, alongside a critical comparison of the deep-learning architectures and integration frameworks used to combine these data sources into advanced predictive models...
Alexandra Chera, Ana-Maria Chirilaș, A. El-Sabeh et al.· Frontiers in Artificial Inte...· 0 citations
ABSTRACT
Digital technologies are increasingly reshaping creative industries by expanding access to design references, market intelligence, external knowledge, and digital communication opportunities. However, limited attention has been given to how digital technologies interact with indigenous knowledge systems in tra...
Unknown authors· Proceeding of International...· 0 citations
The MIT professors collaborated to identify the first AI-discovered antibiotic, a scientific breakthrough that is widely recognized as a milestone in AI-driven drug discovery.
MIT News · Artificial Intelligence· news.mit.eduOct 30, 2026
MIT professors Adam Berinsky and Chara Podimata discuss a new project to track how AI chatbots are responding to questions about the 2026 U.S. midterm elections.
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
Critical flaws, compromised release channels and agentic AI threats landed within days of each other in mid-October 2026. Why “Black October” may say more about how well we now find weaknesses than about the attacks themselves. The post Black October? The Week AI Changed the Cybersecurity Conversation appeared first on GPT-Lab.
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