Приложение В содержит результаты проверки гипотезы 2 о наличии половых различий в отношении к искусственному интеллекту с учётом контроля профиля обучения. В таблице В1 представлены результаты двухфакторного дисперсионного анализа (ANOVA, тип III) для пяти шкал отношения к ИИ: AIAS-4 (общее отношение), доверие к ИИ, го...
Дмитрий Каширский· Zenodo (CERN European Organi...· 0 citations
Приложение С содержит результаты проверки гипотезы 3 о наличии различий в психологическом благополучии между студентами IT- и не-IT-профилей с учётом контроля пола. В таблице С1 представлены результаты двухфакторного ANOVA (главный эффект профиля с контролем пола) для 17 шкал благополучия (Рифф, PERMA, а также шкалы од...
Дмитрий Каширский· Zenodo (CERN European Organi...· 0 citations
This paper presents the Intentional Field Ontology, a philosophical and speculative scientific framework in which reality is understood not as a collection of primary objects but as one reality whose oneness is never still. Its ground is a single primitive with two inseparable aspects. Unity names the holding: the comp...
Eric Needham· Zenodo (CERN European Organi...· 0 citations
QERRA-v2 Classical is an open-source, experimental three-layer execution guard and research middleware for autonomous robots and AI systems. Built upon the SEMEV-12 framework, the QERRA-HSR physical safety companion, and the QERRA-THRIVE value-ranking architecture, it investigates explainable, deterministic alternative...
MAROUSO METOCHARAKI· Zenodo (CERN European Organi...· 0 citations
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Although the adoption of artificial intelligence (AI) in public administration has been widely studied, the integration of AI readiness and competency frameworks for Indonesia’s Aparatur Sipil Negara (ASN) remains limited, while the contextualization of competencies remains normative and has yet to be operationalized....
Muhammad Dendi Krisnadi, S. Hartati· YASIN· 0 citations
The recognition of children's engagement and behavioural risk is critical to building a trusted AI-based approach to education and mental health support. However, current work shows that common engagement-recognition methods lack modelling of complex facial–temporal interactions, do not capture the ordering of engageme...
R. Kanse, Sohit Agarwal· World Journal of Advanced En...· 0 citations
Modern software supply chains face increasing risks from vulnerable and anomalous dependencies, necessitating automated and interpretable detection methods integrated within Continuous Integration and Continuous Deployment (CI/CD) workflows. Open-source software (OSS) ecosystems are increasingly targeted by sophist...
A. Alzahrani, Muhammad Zubair Asghar· Scientific Reports· 0 citations
Generative artificial intelligence is reaching small firms in emerging economies with unusual speed, because it is rented, not built, and is operated through ordinary language instead of code. This paper develops a conceptual framework that explains when and how generative AI use improves innovation performance in emer...
Aaron Whitfield, Maya Lindqvist· Digital Enterprise Studies· 0 citations
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23121066. Peer Review Preprint Title: Self-Correcting Multimodal AI Agents for Reliable Autonomous Decision-Making Authors: Muhammad Umair Younus, Hammad Muneer, Danial Hameed, and...
Jr. Julian Rodriguez· Zenodo (CERN European Organi...· 0 citations
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23121600. Summary of main findings and contribution This narrative review focuses on an important question: how psychosexual rehabilitation after cancer can be delivered at scale, r...
Ghadeer Asarwi· Zenodo (CERN European Organi...· 0 citations
Research on Artificial Intelligence (AI) and the circular economy (CE) has largely examined how AI can improve circular operations. Much less attention has been paid to AI tools widely used to understand and reason about the CE, particularly large language models (LLMs) such as ChatGPT. Researchers, practitioners, st...
Piero Morseletto, N. Bocken· Journal of Industrial Ecolog...· 0 citations
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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