Successful omnichannel retail management requires integrated strategies because customers evaluate product aspects differently across online and offline channels. However, prior research has relied on macro-level or qualitative analyses that cannot quantify which specific aspects are associated with customer satisfacti...
Large language models (LLMs) are increasingly embedded in knowledge work, raising the question to what extent they can systematically influence their users’ decisions—a question with commercial as well as societal stakes. Across an exploratory study and two pre-registered experiments grounded in moral foundations the...
Giles Hirst, W. Johnson, April Li et al.· Scientific Reports· 0 citations
The rapid evolution of AI-powered cyberattacks has revolutionized the environment of cybersecurity, with adversaries using the means of automation of sophisticated attacks, which are beyond the capabilities of the existing cybersecurity environment. The estimated amount of cybercrimes in the world is $10.5 trillion ann...
I. Obiokafor, M. Onyesolu, F. C. Aguboshim· World Journal of Advanced Re...· 0 citations
Oral squamous cell carcinoma (OSCC) represents a significant public health burden in South Asia, where a critical shortage of trained oral pathologists contributes to diagnostic delays and inconsistent histopathological grading. The study aimed to develop and evaluate an interpretable deep learning based framework for...
L. Rahul, Swagatika Pradhan· The Egyptian Journal of Otol...· 0 citations
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One of the major challenges in neuroscience is understanding how the human brain develops into a highly organized and functionally integrated organ, because many developmental processes cannot be investigated directly in humans and are not fully recapitulated in animal models. Brain organoids derived from human pluripo...
H. E. Marei, Anwarul Hasan· Cellular and molecular neuro...· 0 citations
Deploying trustworthy AI requires more than predictive accuracy; it demands population-representative data, transparent explainability, and user-centered design. Despite rapid mobile penetration across Southeast Asia, existing AI-based health tools remain predominantly trained on non-representative datasets and functio...
Latifa Dwiyanti, Raynard Tanadi, Bernardus Willson et al.· Discover Artificial Intellig...· 0 citations
HACoD is proposed, a Human–Agent Emotional Co-Driving Framework that links driver emotional needs, human–agent collaboration patterns, and affective agent design elements and highlights the need for transparent data boundaries and real-world validation.
Wei Gong, Ming-Yuan Zhang, Mei-Cheng Liu et al.· Proceedings of the 18th Inte...· 0 citations
The rhizospheric microbiome is one of the important factors determining plant health, productivity, and secondary metabolite biosynthesis and differs profoundly between medicinal and nonmedicinal plants. Medicinal plants harbor more specialized and metabolically diverse microbial communities, trained by specialized roo...
This publicly available, multi-clinic dental imaging dataset advances research in artificial intelligence (AI), computer vision, and computer-aided diagnosis (CAD) using panoramic dental radiographs (orthopantomogram, OPG). It contains 2,095 fully anonymized panoramic radiographs retrospectively collected from four den...
📌 EXECUTIVE & METHODOLOGICAL FRAMEWORK: How to Read This Document This white paper goes beyond a standard advocacy text; it serves as a foundational methodological pillar within a longitudinal participatory observation corpus. Readers, institutional reviewers, and policymakers should evaluate this document through the...
Erkan Yazargan· Zenodo (CERN European Organi...· 0 citations
This paper presents UMOSU (Unified Model of Social Universe), an ontological model designed to classify phenomena according to the components that are necessary for their manifestation, and UMOKWAI (Unified Model of Knowledge With AI), an epistemic-operational model designed to classify bodies of knowledge according to...
Marco Falsetti· Zenodo (CERN European Organi...· 0 citations
This conceptual research note proposes an invariant-first, falsification-first research program for the P versus NP problem. It does not claim a proof of P=NP or P≠NP. Instead, it asks whether progress can be organized more effectively by shifting attention away from individual candidate algorithms and toward structura...
Shaun Fosmark· Zenodo (CERN European Organi...· 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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