In spring 2026, geopolitical tensions prompted the Pakistani government to mandate full online instruction (10 March–3 April 2026), followed by a hybrid schedule for the rest of the semester. This shift is treated here as an externally imposed crisis context for AI adoption, not as a natural experiment. No pre-cris...
Hassan Ahmed, Abdullah Khan, Arooj Fatima et al.· Education Innovations: Syste...· 0 citations
Male factors account for almost half of all infertility cases and afflict approximately 186 million men globally, presenting a substantial and increasing public health burden. Semen analysis is the standard of care for assessing male fertility, but subjective visual interpretation results in > 25–30% inter-observer var...
[ Recommended — Download the Complete Package (ZIP FILE) from the Download Section for Research Purposes / Latest Industry Trends on AI Governance and AI Safety ] Short Summary of this Article Current Internet protocols move, encrypt, authenticate, delegate, and record data—but they do not generally answer one deeper q...
Sangam Das· Zenodo (CERN European Organi...· 0 citations
Purpose This study aims to examine how artificial intelligence (AI) readiness and digital pedagogical competence (DPC) are associated with lecturers’ perceptions of digital environmental governance innovation (DEGI) and perceived environmental performance in higher education institutions (HEIs). Moving beyond isolated...
Khuong Dinh Phi, Duong Lam Thuy· International Journal of Sus...· 0 citations
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A company is deciding whether to acquire another business. An artificial intelligence system examines financial records, market data and compliance risks, and recommends that the deal should proceed. The directors approve it. Months later, the acquisition causes serious loss. The board signed the resolution, but the mo...
Ashutosh Mani Pathak· International Journal of Law...· 0 citations
Artificial intelligence (AI) is increasingly integrated into digital commerce through intelligent services that support consumer purchasing. However, limited empirical evidence explains how technology acceptance translates into AI adoption and subsequent online purchase behavior, particularly in digital MSMEs. This stu...
Dewi Novianti, Susanta Susanta, Didik Indarwanta· RSF Conference Series Busine...· 0 citations
Maritime systems operate in highly dynamic environments where unexpected equipment failures can compromise safety, reliability, and operational efficiency. Recent advances in artificial intelligence (AI), machine learning, digital twins, and predictive maintenance enable proactive failure prediction and prevention. How...
Dionisis Kalogeropoulos, Georgia Sovatzidi, P. Kalozoumis et al.· 0 citations
VeriRAN is a lightweight runtime-verified AI-RAN control architecture that separates intelligence from authorization, and uses AI agents as intelligent action proposers that generate radio-aware and service-level-agreement (SLA)-aware decisions.
Osman Tugay Başaran, Falko Dressler· Proceedings of the 3rd ACM W...· 0 citations
A fully local, autonomous incident-response framework for edge gateways that combines a compact classifier that routes traffic by confidence, a tool-using language-model agent restricted to vetted mitigation actions, and an Explanation Engine grounded in the agent's recorded observations is presented.
Shaghayegh Shajarian, Sajad Khorsandroo, Mahmoud Abdelsalam· Proceedings of the 17th ACM...· 0 citations
This work recovers DU-side scheduling behavior and radio-side execution, including the per-beam and per-layer beamforming weights carried on the C-plane, separating measured quantities from those conditioned on an array hypothesis, and ground an eleven-agent platform in which a language model only interprets measuremen...
Sridhar Rajagopal, Eran Pisek, Gabriele Gemmi et al.· Proceedings of the 3rd ACM W...· 0 citations
This work introduces EIO-Agents, an open specification for interoperable AI agent evaluation built on two layers: EIO provides that missing semantic contract, while PER preserves the resulting evaluation as a portable and verifiable system of record.
It is claimed that future TTRSs, in addition to offering personalized information filtering, should become more flexible advisors that support decision making, integrating multiple data types and AI techniques, from data mining to natural language processing.
Alejandro Bellogín, Linus W. Dietz, Francesco Ricci et al.· 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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