Tootfinder

Autonomic Microservice Management via Agentic AI and MAPE-K Integration
Matteo Esposito, Alexander Bakhtin, Noman Ahmad, Mikel Robredo, Ruoyu Su, Valentina Lenarduzzi, Davide Taibi
https://arxiv.org/abs/2506.22185

Autonomic Microservice Management via Agentic AI and MAPE-K Integration
While microservices are revolutionizing cloud computing by offering unparalleled scalability and independent deployment, their decentralized nature poses significant security and management challenges that can threaten system stability. We propose a framework based on MAPE-K, which leverages agentic AI, for autonomous anomaly detection and remediation to address the daunting task of highly distributed system management. Our framework offers practical, industry-ready solutions for maintaining ro…

Can One Safety Loop Guard Them All? Agentic Guard Rails for Federated Computing
Narasimha Raghavan Veeraragavan, Jan Franz Nyg{\aa}rd
https://arxiv.org/abs/2506.20000

Can One Safety Loop Guard Them All? Agentic Guard Rails for Federated Computing
We propose Guardian-FC, a novel two-layer framework for privacy preserving federated computing that unifies safety enforcement across diverse privacy preserving mechanisms, including cryptographic back-ends like fully homomorphic encryption (FHE) and multiparty computation (MPC), as well as statistical techniques such as differential privacy (DP). Guardian-FC decouples guard-rails from privacy mechanisms by executing plug-ins (modular computation units), written in a backend-neutral, domain-spe…

Microsoft Windows head Pavan Davuluri says the next Windows version will be more ambient, pervasive and multi-modal, with voice becoming more important (Zac Bowden/Windows Central)
https://www.windowscentral.com/microsoft/w

Microsoft's Windows lead says the next version of Windows will be "more ambient, pervasive, and multi-modal" as AI redefines the desktop interface
In a new video, Microsoft CVP and Windows boss Pavan Davuluri has teased that the future of Windows will consist of a truly ambient and multi-modal experience made possible by AI that will redefine our usage of computers.

Despite the country's financial straits, this is a wonderful time to be a technologist in government, according to Paul Mukherjee, CTO of the UK Department for Environment, Food and Rural Affairs (Defra).
https://www.computing.co.uk/news/2025/ai/g

Government CTO: 'I had a lightbulb moment with agentic AI'
Defra’s CTO believes AI may help government thinking move from processes to outcomes, while agents could assist in complex technical tasks like cloud migrations.

Agentic Distributed Computing
Ajay D. Kshemkalyani, Manish Kumar, Anisur Rahaman Molla, Gokarna Sharma
https://arxiv.org/abs/2507.04459 https://

Agentic Distributed Computing
The most celebrated and extensively studied model of distributed computing is the {\em message-passing model,} in which each vertex/node of the (distributed network) graph corresponds to a static computational device that communicates with other devices through passing messages. In this paper, we consider the {\em agentic model} of distributed computing which extends the message-passing model in a new direction. In the agentic model, computational devices are modeled as relocatable or mobile co…

Quantum Agents
Eldar Sultanow, Madjid Tehrani, Siddhant Dutta, William J Buchanan, Muhammad Shahbaz Khan
https://arxiv.org/abs/2506.01536 https://

Quantum Agents
This paper explores the intersection of quantum computing and agentic AI by examining how quantum technologies can enhance the capabilities of autonomous agents, and, conversely, how agentic AI can support the advancement of quantum systems. We analyze both directions of this synergy and present conceptual and technical foundations for future quantum-agentic platforms. Our work introduces a formal definition of quantum agents and outlines potential architectures that integrate quantum computing…

Affective-CARA: A Knowledge Graph Driven Framework for Culturally Adaptive Emotional Intelligence in HCI
Nirodya Pussadeniya, Bahareh Nakisa, Mohmmad Naim Rastgoo
https://arxiv.org/abs/2506.14166

Affective-CARA: A Knowledge Graph Driven Framework for Culturally Adaptive Emotional Intelligence in HCI
Culturally adaptive emotional responses remain a critical challenge in affective computing. This paper introduces Affective-CARA, an agentic framework designed to enhance user-agent interactions by integrating a Cultural Emotion Knowledge Graph (derived from StereoKG) with Valence, Arousal, and Dominance annotations, culture-specific data, and cross-cultural checks to minimize bias. A Gradient-Based Reward Policy Optimization mechanism further refines responses according to cultural alignment, …

Agentic TinyML for Intent-aware Handover in 6G Wireless Networks
Alaa Saleh, Roberto Morabito, Sasu Tarkoma, Anders Lindgren, Susanna Pirttikangas, Lauri Lov\'en
https://arxiv.org/abs/2508.09147

Agentic TinyML for Intent-aware Handover in 6G Wireless Networks
As 6G networks evolve into increasingly AI-driven, user-centric ecosystems, traditional reactive handover mechanisms demonstrate limitations, especially in mobile edge computing and autonomous agent-based service scenarios. This manuscript introduces WAAN, a cross-layer framework that enables intent-aware and proactive handovers by embedding lightweight TinyML agents as autonomous, negotiation-capable entities across heterogeneous edge nodes that contribute to intent propagation and network ada…