Modern Retail companies must understand their customers, optimize their products, and forecast revenue accurately to remain competitive, yet most organizations lack integrated systems capable of translating transactional data into concrete business decisions.These are not data problems but intelligence problems: the ab...
E. Taher, D. Elzanfaly, W. El-Behaidy· International Journal of Int...· 0 citations
Abstract This reference architecture addresses the structural vulnerability in contemporary AI and social platform systems caused by the implicit coupling of truth evaluation, decision-making, and execution. Released under the Apache-2.0 license, the framework introduces a rigorous separation of concerns through two co...
Arsham Sharis· Zenodo (CERN European Organi...· 0 citations
The El-Rakhawi Neuro-Algorithmic Software Architecture presents a unified framework for brain-inspired computational intelligence, merging neuro-symbolic integration with cognitive software engineering. It replaces rigid imperative coding with dynamic, plastic modules that adapt via synaptic weighting algorithms, mimic...
mohamed kamal arafa el-rakhawi· Zenodo (CERN European Organi...· 0 citations
Abstract This reference architecture addresses the structural vulnerability in contemporary AI and social platform systems caused by the implicit coupling of truth evaluation, decision-making, and execution. Released under the Apache-2.0 license, the framework introduces a rigorous separation of concerns through two co...
Arsham Sharis· Zenodo (CERN European Organi...· 0 citations
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AI Shield is a privacy-preserving, explainable scam and phishing risk-assessment system that combines a bundled multinomial Naive Bayes model, hand-authored security rules, and behavioral indicators to generate a 0–100 risk score with SAFE, SUSPICIOUS, or SCAM explanations.This work presents the system architecture, pr...
Surya Singh Chauhan· Zenodo (CERN European Organi...· 0 citations
AI Shield is a privacy-preserving, explainable scam and phishing risk-assessment system that combines a bundled multinomial Naive Bayes model, hand-authored security rules, and behavioral indicators to generate a 0–100 risk score with SAFE, SUSPICIOUS, or SCAM explanations.This work presents the system architecture, pr...
Surya Singh Chauhan· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence (AI) has become an important technological component of modern medicine, particularly in medical imaging, clinical decision support, electronic health record analysis, pathology, personalized medicine, drug development, and healthcare administration. Machine learning and deep learning methods ca...
Traditional HPLC method development relies on trial-and-error, one-factor-at-a-time approaches that struggle to capture complex, multivariate interactions among method parameters, often resulting in suboptimal separations and transfer failures. While Design of Experiments and Analytical Quality by Design frameworks add...
M. V, Ramakrishnan M, Gokulamanikandan M et al.· International Journal Of Rec...· 0 citations
Current predictive maintenance architectures force a critical compromise between diagnostic precision and physical hardware constraints, routinely failing to deploy complex learning models onto resource-limited microcontrollers. The proposed framework dismantles the limitation through a decentralized, post-training qua...
A model of the universe developed with the assistance of GPT-6 Astra and Claude has survived its first global confrontation with cosmological data. Across supernovae, DESI measurements and the geometry of the cosmic microwave background, it obtains almost the same fit as the standard cosmological model: a chi-square of...
Ugo Lanciano· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence (AI) reshapes work practices and employee innovative behavior. Drawing on Organizational Adaptation Theory (OAT) and the Technology Acceptance Model (TAM), this study proposes the “Cognition, Attitude, Ability and Collaboration” (CAAC) framework to explain employee innovation in AI-enriched envi...
Yue Yang, Guoqian Xi, Liming Zhang et al.· Human Resource Development I...· 0 citations
This work presents a theoretical architecture for continually adapting AI systems organized around three distinct timescales: (1) fast transformer key-value context for immediate interaction, (2) medium-term persistent recurrent memory with decaying importance and consolidation, and (3) slow, controlled parameter adapt...
Chaman Prakash Kanth· Zenodo (CERN European Organi...· 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.
