Sep 2026· Frontiers in Human Dynamics· Vol 8· 35 references
Abstract
Quantum technologies are advancing faster than the institutional capacities of most small island jurisdictions, creating a structural vulnerability that remains largely unaddressed. This article introduces the Quantum Sovereignty Gap (QSG) to explain why Puerto Rico (PR) and the Dominican Republic (DR) risk entering the quantum era without the infrastructural, regulatory, or strategic foundations required for autonomy. Using documentary analysis, a 0–2 scoring matrix, and a qualitative evidence audit trail, the study evaluates the extent to which both jurisdictions exhibit quantum-ready intent. The findings reveal stark asymmetries: PR remains structurally dependent due to long-standing constraints in technological autonomy, externally oriented R&D incentives, and reliance on U.S.-based FedRAMP cloud infrastructures, while the DR shows emerging infrastructural autonomy through its Sovereign Artificial Intelligence (AI) initiative and NVIDIA Memorandum of Understanding but faces significant implementation friction. Both territories lack a Post-Quantum Cryptography (PQC) transition roadmap, exposing them to high systemic risk ahead of Quantum Decryption Day (“QDay”). The article reframes quantum preparedness as a question of structural power and identifies a potential regional opportunity through a PR–DR quantum corridor.
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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