Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Pulsars and Gravitational Waves Research
Abstract
This deposit presents “Conservation, symmetry, and nonlinear exchange in a shearing self-gravitating magnetofluid,” together with supplementary material and compact supporting evidence.The study connects conservation accounting, symmetry-dependent observability, and controlled nonlinear evolution in an eight-component magnetohydrodynamic model. A thirteen-channel momentum budget closes across 196 trajectories. Symmetry identifies scalar-null directions, while matched interventions distinguish nonlinear generation of Fourier support from its modulation by shear. A derived reversal recovers refined ideal histories, and imposed forward losses produce measurable return defects.Results apply to the tested discrete models and finite evolution windows. Spatial-convergence limits and saved-time quadrature sensitivity remain explicit. The package includes 120 compact source records contained in 179 compact evidence files. Generative AI tools, including OpenAI Codex 5.6 sol and 6.0 astra, assisted with code development and debugging, numerical analysis, mathematical discussion, plotting-code preparation, and manuscript preparation. Jake Campbell directed the research, reviewed AI-assisted outputs against the stated equations, independent numerical checks, thresholds, and preserved failure records, and accepts responsibility for the work. The retained historical record does not permit a complete inventory of model versions.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
MIT News · Artificial Intelligence· news.mit.eduOct 13, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.
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