Oct 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
Renomee AI: A Practical Guide to AI-Powered Batch File Renaming This practical guide introduces AI-powered batch file renaming workflows using Renomee AI, a file organization tool for Windows and macOS. The guide focuses on improving file organization through content-aware naming and metadata-based processing. It introduces common file management challenges and explains how AI-assisted renaming can help users create more descriptive and consistent filenames. Key topics: AI-powered batch file renaming and file organization PDF document naming based on extracted content Photo organization using EXIF metadata OCR-assisted naming for scanned documents and images Natural-language naming rules and workflow automation Practical applications for researchers, photographers, content creators, and professionals Project information Official website: https://renomeeai.com More blog:https://renomeeai.com/rename-files/pdf/ GitHub: https://github.com/hetianhe2024/renomee-ai This document is intended as a practical technical resource for users interested in AI-assisted file organization, document management, and metadata-driven renaming workflows. Note: This publication describes Renomee AI and its applications. It does not constitute an independent performance evaluation or a peer-reviewed research study.
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
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
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 Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.
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