An Operational Atlas of Cognitive Maneuvers / Atlas Operativo de las Maniobras del Desvío Adaptive Interference Theory / Teoría de la Interferencia Adaptativa ABSTRACT The Theory of Adaptive Interference (TIA) proposes that cognitive systems—human and algorithmic—can reorganize their responses under dialectical pressur...
Teodoro Escaño· Zenodo (CERN European Organi...· 0 citations
The proposed framework treats AI governance as a strategic capacity of an organization, with accountability, transparency, explainability, human oversight and risk management integrated into the AI lifecycle, ensuring responsible innovation, continuous regulatory compliance and sustainable value creation for the organi...
Anilreddy , Thu Phuong Bhimavarapu , Vu· Journal of Business Practice...· 0 citations
Tuberculosis (TB) remains a major global health challenge, particularly in resource-constrained settings where timely access to expert radiological interpretation is limited. Although artificial intelligence (AI)-based chest X-ray (CXR) screening systems have demonstrated promising diagnostic performance, limited expla...
Furaha Marwa· Zenodo (CERN European Organi...· 0 citations
This paper aims to provide a foundational resource to guide future research on reliable, explainable, and practical IoT intrusion detection systems by identifying the problems addressed in current research and highlighting the limitations in the literature.
Murat Varol, Aykut Karakaya· Italian National Conference...· 0 citations
Description This repository contains the complete, reproducible PyTorch source code for the study "Deep Learning for Odontoid Fractures: The Critical Role of Patient-Level Partitioning and Grad-CAM Verification in Model Generalization". The codebase implements an end-to-end deep learning framework designed to eliminate...
Yunus Emre Kıymaz, Şakir Taşdemir, Burak Gezer et al.· Zenodo (CERN European Organi...· 0 citations
Slides from an invited talk given at the international conference "The Labyrinth of (Social) Rights: Linguistic, Systematic and Other Barriers to Access to Legal Protection" (ARIS project J5-50169), Faculty of Law, University of Ljubljana, 11 September 2026, panel 2 "AI and Legal Text Understanding". No conference proc...
Andrej Seršen· Zenodo (CERN European Organi...· 0 citations
Uri Benoliel demonstrates how AI and big data standards can assess whether disclosures genuinely help prospective franchisees understand key risks, and proposes a forward-looking framework that integrates technology into disclosure design, offering more reliable and scalable methods for regulatory oversight.
Uri Benoliel· Cambridge University Press e...· 0 citations
Slides from an invited talk given at the international conference "The Labyrinth of (Social) Rights: Linguistic, Systematic and Other Barriers to Access to Legal Protection" (ARIS project J5-50169), Faculty of Law, University of Ljubljana, 11 September 2026, panel 2 "AI and Legal Text Understanding". No conference proc...
Andrej Seršen· Zenodo (CERN European Organi...· 0 citations
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
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.
Microsoft Research Blog· microsoft.comOct 30, 2026
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.
Microsoft Research Blog· microsoft.comOct 29, 2026
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
