Sep 2026· Zenodo (CERN European Organization for Nuclear Research)· 2 citations
Pulsars and Gravitational Waves ResearchCosmology and Gravitation Theories
Abstract
In isotropic coordinates the Schwarzschild metric satisfies N = 2/ψ − 1 for every mass, so if the lapse is a function of the isotropic conformal factor alone, vacuum general relativity fixes that function (in areal coordinates the same argument gives a different closure, Jacobson 2007: the choice of the isotropic variable is an assumption). Imposing this closure inside matter, while keeping the Hamiltonian constraint and energy–momentum conservation of a perfect fluid, gives a phenomenological closure of the static equations in which the fluid pressure does not enter the field equations. Read with Einstein's equations, the stars are anisotropic. For uniform density, in closed form: maximum compactness 2^(1/3) − 2^(−1/3) = 0.4662 against Buchdahl's 4/9, surface redshift 2.847 against 2, and 0.4043 against 3/8 if p_c ≤ ρ is imposed. For five density profiles the maximum compactness is 3–5% above GR. At observed compactness the required central pressure is already lower than in GR (by 7% at C = 0.15), so realistic mass–radius curves differ. With the SLy and APR4 equations of state the closure raises the maximum mass by about 5% and the radius of a 1.4 solar-mass star by 0.1 km, about ten times less than present NICER errors: the closure is compatible with PSR J0437−4715 and PSR J0740+6620 but not distinguishable from general relativity with current data. The author is not a professional physicist; his motivation for the closure is explained in a separate optional note (WHERE_THIS_COMES_FROM.md), on which no result depends. Computations were done with AI assistants; all except the NICER comparison were reproduced by a second AI assistant, not by a human referee. All code is included.
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
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
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
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