The integration of artificial intelligence (AI) and deep learning with the biomedical research marks a critical inflection point, shifting the paradigm from addressing symptoms to predicting and acting at the molecular level. In many diagnostic models, the chain reaction triggered by a chronic infection is often overlo...
Rohit Shamsundar Tawade, Abhijeet P. Goad, Maryston Gregory Sequeira, Dr. Anupam Kumar· Zenodo (CERN European Organi...· 0 citations
The continuous evolution of deep learning has significantly expanded the capabilities of artificial intelligence, enabling intelligent systems to solve increasingly complex problems across healthcare, computer vision, natural language processing, cybersecurity, finance, autonomous systems, and smart environments.Beginn...
K. Ramalakshmi, S. Prema, M. Ajithaveni et al.· IJARCCE· 0 citations
For analytical clarity, the contributions can be organized into four interrelated thematic areas: Smart Forecasting Beyond Finance; Deep Learning and Hybrid Models for Financial Forecasting; Large Language Models for Next-Generation Forecasting; and Perspectives on Intelligent Forecasting. Together, these themes reflec...
L. Barolli, Antonino Ferraro, Antonio Galli et al.· Frontiers in Big Data· 0 citations
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
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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
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 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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