Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
AI Veda: The Digital Dharma (Volume I, Part 3) 🚀 For decades, technology deployment has relied on a cold, binary Western paradigm: automation as a labor-substitution mechanism to drive down marginal costs. But as generative and probabilistic AI systems move from passive execution engines to active corporate partners, this paradigm breaks down. In our latest paper—The Architecture of Human-AI Symbiosis—my co-authors and I introduce the Dani-Matrix: a framework that bridges advanced systems engineering with ancient Vedic metaphysics to realign computational power. By mapping Immanuel Kant’s concept of "Duty" directly to Vedic Dharma, we challenge the tech ecosystem to move past superficial optimization and audit the foundational Bhavana (Intent) behind code execution. Key Framework Highlights: Bhagavat Maya vs. Jiva Maya: Why humanity’s artificial constructs (like the abandonment of the Gold Standard) have systematically drowned out planetary feedback loops. 1,000 Years of Systemic Deviation: A diagnostic scan of historical ecocides—from carbon whiplash in the 13th century to the modern tech paradoxes playing out in our silcon laboratories. The 4-Stage AI Action Protocol: Moving AI from a passive "command-and-response" tool to an active guardian of planetary equilibrium using the Cybernetic Mirror and the Pasaydan Pivot. The goal of technology shouldn't be to build a colder, detached automated horizon. It should be to manifest the vision whispered by Saint Dnyaneshwar Mauli 700 years ago: an interconnected architecture where technology straightens the crookedness of human intent, fostering an absolute, systemic love for actions that benefit the collective whole (Satkarme rati vadho).
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
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.