AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Zenodo DOI: https://doi.org/10.5281/zenodo.21137999 DSLO Human Container — Public‑Safe Semantic Substrate (v0.5) DSLO Human Container is the public‑safe semantic substrate for understanding how humans maintain coherence, identity, and stability under modern digital conditions. It formalizes the Human Invariants — Bound...
This repository contains the data and analysis code for a random-effects meta-analysisof the effect of transparency/explainability interventions on worker outcomes (perceivedfairness, trust, autonomy, performance) in algorithmic digital labor, submitted to PeerJComputer Science. Effect sizes (Hedges' g) and moderator c...
This approach revealed that AI development for cyber defense is highly heterogenous, and that the available datasets strongly influence the algorithm of choice, rather than the models being chosen methodologically based on proven performance.
Early retrospective studies show promising discrimination for AI-based GC prediction; however, evidence remains insufficient for routine clinical decision-making due to methodological heterogeneity, limited external validation, absence of prospective impact studies, and lack of calibration and clinical utility analyses...
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Background Teaching Turkish to A1–A2 learners relies heavily on word selection and multimodal presentation. While traditional curricula prioritize frequency-based lists, they often underestimate the visual-semantic dimension critical for novice learners. Computational tools such as Word2Vec and CLIP offer a data-driven...
The study proposes the Sociotechnical Explainability Alignment (SEA) framework, which conceptualizes ethical XAI as requiring alignment across four levels: design, user, team, and organization.
The increasing deployment of complex AI models, particularly deep neural networks, raises significant concerns about their interpretability and trustworthiness. Existing XAI techniques often provide post-hoc explanations that lack a clear connection to the model's underlying reasoning. This paper proposes a novel appro...
This paper investigates the application of Explainable Artificial Intelligence (XAI) techniques to the detection of software vulnerabilities. Traditional vulnerability detection methods often rely on black-box machine learning models, lacking transparency and hindering understanding of the underlying reasons for vulner...
The study demonstrates that the use of AI agents requires a refinement of the agency theory as it applies to algorithmic agents, since the source of costs shifts from the personal interest to the training conditions, data composition, suitability of the previously trained system, and the ability to explain the program'...
The findings indicate that organizations integrating explainable AI mechanisms into supply chain analytics are better positioned to achieve transparency, regulatory compliance, and collaborative decision-making.
The increasing deployment of complex AI models, particularly deep neural networks, raises significant concerns about their interpretability and trustworthiness. Existing XAI techniques often provide post-hoc explanations that lack a clear connection to the model's underlying reasoning. This paper proposes a novel appro...
📣 PROMO READY #255 [Hacker News (Show HN)] — E8 Intelligence live AI trading ecosystem Show HN: E8 Intelligence – a live AI ecosystem applying E8 geometry to markets We built a system that runs 24/7, mapping E8 sacred geometry onto market microstructure. It's not a backtest – it's live, with a real-time Merlin chat th...
A Blog post by Dharma-AI on Hugging Face
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.
GPT-Lab
· gpt-lab.eu
Nov 3, 2026
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.
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.
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