Abstract The impact of new technologies such as artificial intelligence, cloud computing, mobile systems and technologies of e-resources creates a significant need for change in the university library in a digital way. With these technologies, libraries have changed their focus from student learning and user engagement...
“Shift left” moved security activities toward the earliest artifact of the software development lifecycle (SDLC): source code. Autonomous coding agents invalidate the premise that code is that earliest artifact. An agent equipped with a shell, a package manager, credentials, and tool connectors performs security-releva...
Animesh Shaw· Zenodo (CERN European Organi...· 0 citations
CP-AnemiC Trustworthy AI Reproducibility Package v1.0.0 Initial reproducibility release accompanying the manuscript: "Case Study on Conjunctival Anemia Screening in Medical Images: An Explainable AI-Based Decision Support System." This release includes: Analysis and evaluation scripts Cleaned Jupyter notebooks Derived...
M Sankari, S Vigneshwari· Zenodo (CERN European Organi...· 0 citations
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Multi-agent work often outlives individual sessions and processes. A successor must identify not only an output but also the current task and attempt, the results submitted and accepted, and the evidence and authority for the next change. This paper systematically describes and studies FCoP 4.0, a protocol that express...
Wei Zhu· Zenodo (CERN European Organi...· 0 citations
Abstract The impact of new technologies such as artificial intelligence, cloud computing, mobile systems and technologies of e-resources creates a significant need for change in the university library in a digital way. With these technologies, libraries have changed their focus from student learning and user engagement...
Institutional Intelligence, Living Experiments & Traceable Accountability The Report Card of 500 Institutions: Why Modern Systems Have Files but No Memory Publication Number: #143Corpus: Longitudinal Institutional Intelligence Research Corpus (LIIRC)Resource Type: Publication / Working Paper / Institutional BenchmarkLi...
Erkan Yazargan· Zenodo (CERN European Organi...· 0 citations
This work presents a theoretical architecture for continually adapting AI systems organized around three distinct timescales: (1) fast transformer key-value context for immediate interaction, (2) medium-term persistent recurrent memory with decaying importance and consolidation, and (3) slow, controlled parameter adapt...
Chaman Prakash Kanth· Zenodo (CERN European Organi...· 0 citations
Background: Machine-learning models for cardiovascular disease (CVD) are often evaluated with random participant splits, which may overstate performance when countries differ in prevalence, risk-factor distributions, healthcare access, and survey implementation. We benchmarked statistical and machine-learning classifie...
Wingston Felix Ng'ambi· Zenodo (CERN European Organi...· 0 citations
We introduce Ammonix, a foundation architecture for local, specialized, explainable AI agents in high-stakes operational domains such as clinical diagnosis, industrial and power-grid control rooms, and mission control. In these domains the responsible human operator must remain in charge, and needs an always-available...
Lea Grieder, Matthew Todorov, Adele Glauser et al.· Zenodo (CERN European Organi...· 0 citations
This research preprint consolidates the Kotlyar Stability Postulate, quantum ground-state proposal, and Global Stable Radial Class framework into a conditional postulate on the Riemann Hypothesis. Version 1.3 develops Lemma 1—the radial-flux calculation—and Lemma 2—the proposed global-stability selection principle—whil...
David Kotlyar· Zenodo (CERN European Organi...· 0 citations
Intelligence depends on how a system makes information usable, retains it and changes through experience. This perspective connects five established dependencies across biological and artificial systems: the conditional value of information, access through available operations, persistence relative to future demands, c...
Brendan Barlow· Zenodo (CERN European Organi...· 0 citations
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.
Microsoft Research Blog· microsoft.comOct 30, 2026
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.
Microsoft Research Blog· microsoft.comOct 29, 2026
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
