Agentic artificial intelligence (AI) is shifting from decision support to autonomous coordination, challenging established assumptions about managerial authority. This qualitative conceptual paper synthesises recent literature in algorithmic management, organisational theory, and human-computer interaction to examine h...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
Agentic artificial intelligence (AI) is shifting from decision support to autonomous coordination, challenging established assumptions about managerial authority. This qualitative conceptual paper synthesises recent literature in algorithmic management, organisational theory, and human-computer interaction to examine h...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
Deep learning models hold considerable potential for predicting MCI-to-AD conversion, yet substantial barriers remain to their translation into routine clinical practice, including lack of diverse datasets, overfitting, and poor model interpretability.
Mozhgan Ghasabi, Hadi S. Aghdasi, M. Feizi-Derakhshi· Ageing Research Reviews· 0 citations
This framework proposes a testable approach for future quantification of persistent internal mercury exposure, requiring validation through longitudinal biomonitoring, PBPK calibration, and mechanistic endpoint integration.
G. Sonji, N. Sonji, Afaf El Katerji· Journal of Applied Toxicolog...· 0 citations
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These convergent classification, attribution, and nodal-efficiency findings converge on the cerebellum-alongside the thalamus and hippocampus-as explainable-AI-identified regional substrates whose nodal efficiency tracks DSM-5-defined symptom severity in IGD.
This Perspective defines radiology as an epistemic system: the organized clinical infrastructure through which imaging observations become warranted, actionable, revisable, and accountable knowledge.
This review provides a clinician-centered understanding of AI adoption, highlighting that acceptability depends not only on what AI can do but also on whether it can be integrated safely, ethically, and in ways that preserve professional judgment and therapeutic relationships.
Carly Hudson, Thuy Linh Phan, Marcus Randall· Journal of Medical Internet...· 0 citations
BACKGROUND
Artificial intelligence (AI) is increasingly being used in diagnostic veterinary anatomy to assist with medical-image interpretation, anatomical segmentation, disease recognition, and quantitative morphometric measurements. Even so, evidence specific to this area remains fragmented, particularly with regard...
S. Sahu, Uma Kanta Mishra· Annals of Anatomy· 0 citations
Artificial intelligence for surface water quality prediction has evolved rapidly from classical regression and ensemble learning toward deep sequence, graph-based, physics-informed, and representation-learning approaches, while a largely disconnected systems literature has matured around digital twins, edge intelligenc...
Salman M and Sharif M· Zenodo (CERN European Organi...· 0 citations
Hybrid printing operations integrate conventional manufacturing, additive manufacturing, and digital printing technologies, to create complex scheduling challenges arising from dynamic production environments, heterogeneous resources, and the limited transparency of conventional Artificial Intelligence (AI)-based sched...
We present a synthesis of the Karimov–Alekberli (KA) Framework into a unified theory ofConstitutional Intelligence: the capacity of an adaptive system to make consequentialdecisions that are simultaneously governed, explainable, accountable, reconstructable,verifiable, and capable of learning without retroactive falsif...
Karimov Hikmat, Alekberli Rahid· Zenodo (CERN European Organi...· 0 citations
Hybrid printing operations integrate conventional manufacturing, additive manufacturing, and digital printing technologies, to create complex scheduling challenges arising from dynamic production environments, heterogeneous resources, and the limited transparency of conventional Artificial Intelligence (AI)-based sched...
The MIT professors collaborated to identify the first AI-discovered antibiotic, a scientific breakthrough that is widely recognized as a milestone in AI-driven drug discovery.
MIT News · Artificial Intelligence· news.mit.eduOct 30, 2026
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.
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.
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