Autonomous Interconnected Science Lab Ecosystem (AISLE)
AISLE is a grassroots network accelerating scientific discovery by connecting autonomous laboratories through AI agents, interoperable infrastructure, and shared governance.
What makes AISLE different
- Distributed by design: multi-institution collaboration without centralized control.
- Human-first autonomy: AI agents amplify scientist decision-making, not replace it.
- Infrastructure-ready: designed for production HPC and large-scale instrumentation.
- Interoperability focus: standards, APIs, and governance built into every initiative.
Vision
A nationwide ecosystem where interconnected autonomous laboratories transform the scope, speed, and responsiveness of science, compressing discovery cycles from decades to months while preserving human creativity.
Mission
Build a cohesive infrastructure that connects autonomous labs, AI-ready software, and data systems to enable reproducible, scalable, and equitable scientific discovery.
Values
Openness, interoperability, trust, and rigorous scientific validation guide how AISLE grows the autonomous science community.
Who we are
AISLE brings together scientists, engineers, and technologists from national laboratories, universities, industry, and government agencies. Our community spans materials science, robotics, AI, chemistry, data management, and computational workflows.
We operate as a collaborative knowledge exchange where experimental insights and computational intelligence form a tight, continuous feedback loop.
What we are building together
- Shared standards for autonomous instrument control and data exchange.
- Agentic workflows that coordinate multi-site experiments in real time.
- Trust and provenance systems that make autonomous decisions auditable.
- Education and workforce programs that prepare the next generation.