New in v2.5. At eight vertices three independent enumerations — the per-graph file published with arXiv:2605.12828, the 2012 Amselem–Danielsen–López-Tarrida–Portillo database, and this sweep — give the same 498 graphs, identical as graph6 strings, with zero disagreement on the independence number across all 11 117 grap...
Artem Oktiabrev· Zenodo (CERN European Organi...· 0 citations
Most capable AI today is rented, opaque and unaccountable: it runs on someone else's servers, cannot faithfully explain itself, and is governed by whoever owns the endpoint. The Vektorgeist Method (VGM) is Vektorgeist's methodology for building AI that a person can own, inspect and trust. It rests on one premise taken...
Parnell AC· Zenodo (CERN European Organi...· 26 citations
The research problem addressed by Scala Ponderum Custodita is how to transform modern AI systems from persuasive conversational interfaces into reliable producers of extended work. The practical trigger is a class of requests that cannot be completed in one inference: multiple repositories must be inspected,several pla...
Alfredo Medina Hernandez, MedinaTech· Zenodo (CERN European Organi...· 0 citations
This package reproduces the analyses, cached null ensembles and figures of "Auditing bipartite motif interpretations: a worked example with conservation checks and open-path decomposition" (Tengfei Shao, submitted to PeerJ Computer Science, 2026). It contains the typed bipartite motif counting operator and three indepe...
Tengfei Shao· Zenodo (CERN European Organi...· 0 citations
Reach audiences
Advertise in front of researchers, engineers, and readers.
This package reproduces the analyses, cached null ensembles and figures of "Auditing bipartite motif interpretations: a worked example with conservation checks and open-path decomposition" (Tengfei Shao, submitted to PeerJ Computer Science, 2026). It contains the typed bipartite motif counting operator and three indepe...
Tengfei Shao· Zenodo (CERN European Organi...· 0 citations
The research problem addressed by Scala Ponderum Custodita is how to transform modern AI systems from persuasive conversational interfaces into reliable producers of extended work. The practical trigger is a class of requests that cannot be completed in one inference: multiple repositories must be inspected,several pla...
Alfredo Medina Hernandez, MedinaTech· Zenodo (CERN European Organi...· 0 citations
Although substantial technical, regulatory, and ethical challenges remain unresolved, ongoing progress in hybrid modeling, federated learning, explainable AI, and evolving regulatory frameworks provides a plausible pathway toward individualized prediction and proactive management, provided that claims of clinical readi...
Yue Sun, Ruo-Di Yang, Qi-Rui Xin et al.· Frontiers in Endocrinology· 0 citations
This survey critically examines significant research contributions highlighting AI applications across intrusion detection, malware analysis, phishing detection, ransomware mitigation, distributed denial-of-service prevention, and network security and outlines prospective directions to advance the development of intell...
Muhammad Zahid Mehmood, Dr.Irshad Ahmed Sumra, Sobia Yaqoob· International journal for el...· 0 citations
This paper presents a novel approach to social network analysis utilizing Explainable Graph Neural Networks (E-GNNs). Traditional graph neural networks, while effective in capturing complex relationships within networks, often operate as black boxes, hindering interpretability and trust. We propose a framework that int...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Reliable prediction of cracking behavior is essential for the serviceability assessment of reinforced and prestressed concrete members, where crack development depends on interacting material, geometric, reinforcement, prestressing, and loading parameters. This study presents an explainable and uncertainty-aware artifi...
Ahmed N. Elbelacy· Journal of engineering and a...· 0 citations
The notion of “AI natives” is increasingly used to describe young learners’ presumed ease with generative artificial intelligence (GenAI), but the label often turns age and exposure into proxies for competence. This study re-examines that assumption through an exploratory secondary analysis of two open student datasets...
Jun Peng, Weichen Jia, Nuan Wen et al.· Information· 0 citations
This study examines whether and how SMEs' post-adoption use of generative AI (GenAI) relates to firms' market-facing digital presence. Moving beyond binary adoption, it asks how three usage patterns, i.e. duration (continuity over time), volume (cumulative interaction) and frequency (regularity of use), are associa...
Devid Jegerson, Andrea Passacantilli, Federica Belfanti et al.· European Journal of Innovati...· 0 citations
Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.
Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduNov 2, 2026
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.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
