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8,632 papers
Policy drift takes shape through a nonlinear differential equation - framed within the policy state space - with support from Lyapunov stability concepts alongside bifurcation methods alongside bifurcation methods, and the Intent Drift Rate appears: a concrete number per dialogue turn built as the time-based change in...
This conceptual paper theorizes agentic workflows systems, where an AI agent or agents proactively perceive, plan, act and reflect throughout the entire software development lifecycle (SDLC); its implications for end to end software engineering automation are discussed.
AI-driven cybersecurity in the software engineering field is discussed, where machine learning, deep learning, natural language processing, and reinforcement learning can be applied throughout the software development lifecycle to provide increased security.
The design, deployment, and performance of cloud-based AI systems, especially scalability, system intelligence, and efficiency, and the challenges, such as latency problems in distributed computing systems, data privacy and security, and resource allocation, are indicated.
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Explainability in Large Language Model (LLM)–assisted PLC programming is essential for industrial adoption, where engineers must understand, validate, and maintain generated control logic under strict safety and standardization constraints. Existing explainability-oriented prompting approaches such as Chain of Note (Co...
Generating PLC programs with Large Language Models (LLMs) that are directly deployable in industrial toolchains remains challenging because outputs must satisfy IEC 61131-3 semantics and vendor-specific compilation constraints. Verification-centric prompting such as Chain-of-Verification (CoVe) can reduce reasoning err...
Interstellar communication is not merely slow. It is strategically stale. A message received across distance reports a sender that may no longer occupy the same strategic state, while replies and irreversible actions are chosen on different local clocks. This paper develops a delayed Bayesian interaction game in which...
Interstellar communication is not merely slow. It is strategically stale. A message received across distance reports a sender that may no longer occupy the same strategic state, while replies and irreversible actions are chosen on different local clocks. This paper develops a delayed Bayesian interaction game in which...
This conceptual article develops a formal theory of atypical human failure in which severe life-course consequences can emerge from a conjunction of adverse conditions, a low-frequency behavioural lapse, stochastic outcome mechanics, categorical legal or institutional thresholds, and dynamically propagating collateral...
This conceptual article develops a formal theory of atypical human failure in which severe life-course consequences can emerge from a conjunction of adverse conditions, a low-frequency behavioural lapse, stochastic outcome mechanics, categorical legal or institutional thresholds, and dynamically propagating collateral...
Legal systems can reverse convictions, dismiss charges, and acquit defendants, but public narratives are not designed to reverse with comparable speed or precision. This article develops narrative hysteresis as a theory of reputational path dependence after public accusation. It integrates the continued influence effec...
A person-centred framework of hermeneutic sovereignty for generative AI is developed and concludes that trustworthy AI must preserve not only a human role in decisions, but a meaningful human standing in the production of the interpretations on which decisions depend.
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
A new language-processing tool could help identify the highest-risk individuals from natural language, enabling swifter interventions.
A Blog post by Liquid AI on Hugging Face
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