Tootfinder

Governed By Agents: A Survey On The Role Of Agentic AI In Future Computing Environments
Nauman Ali Murad, Safia Baloch
https://arxiv.org/abs/2509.16676 https://

Governed By Agents: A Survey On The Role Of Agentic AI In Future Computing Environments
The emergence of agentic Artificial Intelligence (AI), which can operate autonomously, demonstrate goal-directed behavior, and adaptively learn, indicates the onset of a massive change in today's computing infrastructure. This study investigates how agentic AI models' multiple characteristics may impact the architecture, governance, and operation under which computing environments function. Agentic AI has the potential to reduce reliance on extremely large (public) cloud environments due to res…

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.

From Legacy Fortran to Portable Kokkos:An Autonomous Agentic AI Workflow
Sparsh Gupta, Kamalavasan Kamalakkannan, Maxim Moraru, Galen Shipman, Patrick Diehl
https://arxiv.org/abs/2509.12443

From Legacy Fortran to Portable Kokkos:An Autonomous Agentic AI Workflow
Scientific applications continue to rely on legacy Fortran codebases originally developed for homogeneous, CPU-based systems. As High-Performance Computing (HPC) shifts toward heterogeneous GPU-accelerated architectures, many accelerators lack native Fortran bindings, creating an urgent need to modernize legacy codes for portability. Frameworks like Kokkos provide performance portability and a single-source C++ abstraction, but manual Fortran-to-Kokkos porting demands significant expertise and …

Trust Semantics Distillation for Collaborator Selection via Memory-Augmented Agentic AI
Botao Zhu, Jeslyn Wang, Dusit Niyato, Xianbin Wang
https://arxiv.org/abs/2509.08151 https…

Trust Semantics Distillation for Collaborator Selection via Memory-Augmented Agentic AI
Accurate trustworthiness evaluation of potential collaborating devices is essential for the effective execution of complex computing tasks. This evaluation process involves collecting diverse trust-related data from potential collaborators, including historical performance and available resources, for collaborator selection. However, when each task owner independently assesses all collaborators' trustworthiness, frequent data exchange, complex reasoning, and dynamic situation changes can result…

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…

Agentic Services Computing
Shuiguang Deng, Hailiang Zhao, Ziqi Wang, Guanjie Cheng, Peng Chen, Wenzhuo Qian, Zhiwei Ling, Jianwei Yin, Albert Y. Zomaya, Schahram Dustdar
https://arxiv.org/abs/2509.24380

Agentic Services Computing
The rise of LLM-powered agents is driving a fundamental transformation in services computing: from static, request-response functions to dynamic, goal-oriented, and autonomous multi-agent ecosystems. In response to this shift, we introduce Agentic Service Computing (ASC), a new paradigm that reimagines services as intelligent, self-adaptive, and socially embedded entities. This comprehensive survey presents a lifecycle-driven framework for ASC, structured around four core phases: Design, Deploy…

QUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RL
Cong Yu, Valter Uotila, Shilong Deng, Qingyuan Wu, Tuo Shi, Songlin Jiang, Lei You, Bo Zhao
https://arxiv.org/abs/2510.00967

QUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RL
Designing and optimizing task-specific quantum circuits are crucial to leverage the advantage of quantum computing. Recent large language model (LLM)-based quantum circuit generation has emerged as a promising automatic solution. However, the fundamental challenges remain unaddressed: (i) parameterized quantum gates require precise numerical values for optimal performance, which also depend on multiple aspects, including the number of quantum gates, their parameters, and the layout/depth of the…

QUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RL
Cong Yu, Valter Uotila, Shilong Deng, Qingyuan Wu, Tuo Shi, Songlin Jiang, Lei You, Bo Zhao
https://arxiv.org/abs/2510.00967

QUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RL
Designing and optimizing task-specific quantum circuits are crucial to leverage the advantage of quantum computing. Recent large language model (LLM)-based quantum circuit generation has emerged as a promising automatic solution. However, the fundamental challenges remain unaddressed: (i) parameterized quantum gates require precise numerical values for optimal performance, which also depend on multiple aspects, including the number of quantum gates, their parameters, and the layout/depth of the…