In-space additive manufacturing is a key enabling technology for long-duration on-orbit operations and extra terrestrial resource utilization. This study examines the industrial spillover effects of generative artificial intelligence-enabled in-space additive manufacturing on terrestrial systems. Based on publicly avai...
Zhe Cao, Fei Wang· Ninth Global Intelligent Ind...· 0 citations
Artificial intelligence (AI) is rapidly transforming healthcare and is increasingly entering routine radiation oncology practice. Current applications include image registration, automated segmentation, treatment planning, plan evaluation, image-guided and adaptive radiotherapy, quality assurance, radiomics and predict...
Maj Dr Vikash Sharma, Maj Dr Ajay CS, Colonel Prof Virender Suhag· International Journal of Sci...· 0 citations
This article analyzed gender frameworks in the midst of patriarchal power in selected secondary schools in Zambia. By using gender theoretical frameworks, such as the Harvard Analytical Framework (HAF), Moser Gender framework (MGF), the Social Relations Approach (SRA), the intersectionality Gender Framework (IGF) and t...
Chidongo Phiri· International Journal of Hum...· 0 citations
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The application of AI to virtual cancer care has made a tremendous impact on the clinical decision-making process, as it has aided the process of diagnosis, treatment planning, and therapeutic advice, but the gap between the AI-based treatment advice and the finalized decision of the oncologist has become a crucial iss...
Dr. Muchukota Sushma1* Khansa Fathima1· Zenodo (CERN European Organi...· 0 citations
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
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...
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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