- By:
- Ferreira Da Silva, Rafael ; Abolhasani, Milad; Antonopoulos, Dionysios; Biven, Laura; Coffee, Ryan; Foster, Ian; Hamilton, Leslie; Jha, Shantenu; Mayer, Theresa; Mintz, Benjamin J; Moore II, Robert G; Nimer, Sal; Paulson, Noah; Shin, Woong ; Suter, Frederic ; Taheri, Mitra; Taufer, Michela; Washburn, Newell
- Page Number:
- 142-150
- Book Title:
- ICPP Workshops '25: Workshop Proceedings of the 54th International Conference on Parallel Processing
- Publication Date:
- March 23, 2026
- Conference Name:
- 54th International Conference on Parallel Processing (ICPP '25), Workshop on Workflows, Intelligent Scientific Data, and Optimization for Automated Management (WISDOM 2025)
- Conference Location:
- San Diego, California, United States of America
- Conference Sponsor:
- IEEE
- View DOI Listing:
- https://doi.org/10.1145/3750720.3757292
Abstract
Scientific discovery is being revolutionized by AI and autonomous systems, yet current autonomous laboratories remain isolated islands unable to collaborate across institutions. We present the Autonomous Interconnected Science Lab Ecosystem (AISLE), a grassroots network transforming fragmented capabilities into a unified system that shorten the path from ideation to innovation to impact and accelerates discovery from decades to months. AISLE addresses five critical dimensions: (1) cross-institutional equipment orchestration, (2) intelligent data management with FAIR compliance, (3) AI-agent driven orchestration grounded in scientific principles, (4) interoperable agent communication interfaces, and (5) AI/ML-integrated scientific education. By connecting autonomous agents across institutional boundaries, autonomous science can unlock research spaces inaccessible to traditional approaches while democratizing cutting-edge technologies. This paradigm shift toward collaborative autonomous science promises breakthroughs in sustainable energy, materials development, and public health.
