AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,810 papers
This article examines Continuous Governance, Risk, and Compliance (Continuous GRC) as a foundational requirement for autonomous and agentic AI systems. It argues that periodic assessments and retrospective audits are insufficient for systems that continuously interpret goals, delegate authority, invoke tools, access re...
Data concepts relevant to AI applications in public health — such as availability, relevance, and representativeness — are usually explained in their general, basic sense for a broad readership of engineers and public health professionals alike, without being organized by what kind of practical failure each one represe...
The implementation of Artificial Intelligence (AI) algorithms in clinical decision support systems (CDSS) and biomedical diagnostics has already shown its impressive potential for positive patient impact. At the same time, there are several challenges that need to be addressed when it comes to the deployment of advance...
A full overview of AI-based DDI prediction, including information like, but not limited to, publicly available resources for AI-DDI study, approaches for data handling and feature preprocessing, explainable Artificial Intelligence (XAI) schemes that improve trust toward an approach based on other XAI methods that contr...
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A cuscuton-clock sector coupled to matter disformally along the clock's own unit timelike direction gives a post-Newtonian gamma of exactly one with no added vector field. Boosted, the same coupling gives alpha_1 = 8 f_s, five orders over the bound unless local matter drags the clock into its own rest frame to within 4...
What's Changed Fix FX installation and background persistence by @DarlingtonDeveloper in https://github.com/harbor-framework/harbor/pull/2829 Migrate agents to structured capability declarations by @alexgshaw in https://github.com/harbor-framework/harbor/pull/2834 fix(rewardkit): trajectory criteria default to /logs/ag...
Correction notice (v1.5). This version demotes a claim. Clause (iii) of Theorem 3.7 -- the match between the CC-channel connection-coefficient ratio and the Riemann--Hilbert datum of P_V/D_5^(1) at the V_quad tau parameter -- was stated as part of a theorem through v1.4. It is not a theorem of this paper and is recorde...
OCOM, the Object-Centric Operating Model, is an open, technology-independent specification that describes an organization as a system of governed objects carrying identity, ownership, lifecycle and evidence. Everything else an organization produces about itself, dashboards, documents, knowledge graphs, search indexes a...
OCOM, the Object-Centric Operating Model, is an open, technology-independent specification that describes an organization as a system of governed objects carrying identity, ownership, lifecycle and evidence. Everything else an organization produces about itself, dashboards, documents, knowledge graphs, search indexes a...
This scoping review aims to map the current extent, range, and nature of evidence on the use of artificial intelligence (AI), machine learning, deep learning, radiomics, and radiogenomics applied to medical imaging for the non-invasive prediction or characterization of genomic alterations and molecular phenotypes in pa...
This repository contains the extraction dataset, the explanation-evaluation reclassification, and the association analysis supporting the systematic mapping study of explainable artificial intelligence (XAI) in medicine (383 studies from Q1/Q2-indexed journals, 2020–2025).
Vasovagal syncope (VVS) is a common cause of transient loss of consciousness and presents diagnostic challenges. The head-up tilt test (HUTT) is the standard method for diagnosis; however, existing approaches often show limited sensitivity, and adoption of Artificial Intelligence (AI)-based tools is constrained by conc...
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.
Five MIT faculty members and two additional alumni are honored with fellowships to advance research on beneficial AI.
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.
Google DeepMind and UK government work together to reduce planning assessment times
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.
GPT-Lab
· gpt-lab.eu
Oct 30, 2026
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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