Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Cosmology and Gravitation Theories
Abstract
We present the fully formalized version of Higgs-Stiffness Gravity, a unified framework in which the dark sector arises from the tensorial elastic response of the Higgs condensate to spacetime curvature. By identifying the Higgs field as the order parameter for vacuum stiffness, we show that the Standard Model vacuum acts as a non-linear elastic medium whose effective bulk modulus is constrained by a tensorial homeostatic term. This naturally produces a reinforced pole (dark matter) at high curvatures and a stretch pole (dark energy) at low curvatures. The model is gauge-invariant, ghost-free, contains only one free parameter (ξ), and passes the Category Error Detector (CED) with 0/5 errors. The tensorial constraint λH(Gµν− κTµν)Σµν enforces homeostasis at the Lagrangian level, ensuring Beff R >0 and numerical stability. Comparison with DESI DR1 and Euclid mock data shows a moderate preference over ΛCDM with ∆AIC =−1.8. We explicitly link this framework to the AI Qualia architecture, demonstrating the cross-domain generative power of the 2D Heuristic of the Intelligible
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
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduSep 16, 2026