Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
Green libraries are arising as a significant shift in the areas of sustainability, invention, and the sharing of knowledge.In India, these institutions are evolving into environmentally sustainable and technologically advanced realities that support sustainable invention and AI- driven entrepreneurship. This exploration paper aims to explain the core conception of green libraries and their part in promoting mindfulness about the terrain. It also explores the use of AI- driven technologies within libraries to support the growth of entrepreneurial conditioning. named case studies from India will be examined to give perceptivity into real- world operations and the challenges faced. The preface of the green library model is viewed as a change in perspective towards sustainability, invention, and the exchange of knowledge. Indian institutions are now getting environmentally sustainable and technology-focused associations that will support sustainable invention and grease AI- driven entrepreneurship. This paper further discusses how the use of AI technology can prop in the development of libraries and the path forward for encouraging entrepreneurship through innovative styles. Case studies from India are used to show how green libraries are being used as a tool for fostering invention. Qualitative exploration styles along with data analysis have been employed to identify openings and issues related to these invention sweats grounded on current academic and institutional practices. The exploration findings indicate that green libraries can act as catalysts for invention, leading to sustainable development by breaking down knowledge walls, supporting launch- ups, and promoting inclusive growth. Green libraries are proving to be transformative institutions that integrate sustainability, invention, and entrepreneurship. In the environment of India, these green libraries are making significant benefactions to adding environmental mindfulness, effective resource use, and supporting green entrepreneurship. The integration of artificial intelligence (AI) technologies and the conception of open data can place green libraries as invention capitals for sustainable business and technological progress.
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
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
The “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.