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PegasusAI Studio enables AI agents to manage scientific workflows

A new system called PegasusAI Studio has been developed to enable AI coding agents to construct and manage scientific workflows on shared cyberinfrastructure. The studio addresses challenges in legibility and accountability by projecting curated knowledge bases into agent configurations, introspecting workflow interfaces, and grounding diagnostics in telemetry. It ensures agent actions are attributed to users and bound by their privileges through federated authentication, per-user environments, and approval controls. Case studies demonstrate its effectiveness in modernizing weather workflows, reanalyzing gravitational waves, processing EEG data, and reconstructing images for the Event Horizon Telescope. AI

IMPACT This system could streamline complex scientific research by enabling AI agents to manage computational tasks on shared infrastructure.

RANK_REASON The item is an arXiv paper describing a new system for scientific workflows. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

PegasusAI Studio enables AI agents to manage scientific workflows

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The item is an arXiv paper describing a new system for scientific workflows. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Komal Thareja, Mats Rynge, Berent Aldikacti, Angelina Ju, Ian Lumsden, Anirban Mandal, Rajiv Mayani, Kin Wai Ng, Hamza Safri, Michael Stealey, Sai Swaminathan, Michela Taufer, Karan Vahi, Michael Zink, Ewa Deelman ·

    PegasusAI Studio: Legible Cyberinfrastructure and Accountable AI Agents for Scientific Workflows

    arXiv:2611.13309v1 Announce Type: cross Abstract: AI coding agents can now construct scientific workflows, but operating them on shared cyberinfrastructure (CI) raises problems that code generation does not solve. Agents need current knowledge of the workflow system and its execu…