Autonomous Science Network
Interconnected autonomous labs for accelerated discovery
We are building the AISLE ecosystem where AI agents, robotics, and leadership-class HPC co-orchestrate experiments across institutions. The result is a continuously learning, interoperable laboratory fabric that compresses discovery cycles from years to weeks.
A2SD-2026 Workshop
2nd Advancing Autonomous Scientific Discovery Workshop — co-located with ISC High Performance 2026.
- When: June 26, 2026 · 2:00pm–6:00pm CEST
- Where: Hamburg, Germany · Hall 10, 1st Floor
AISLE network architecture
The AISLE architecture defines how autonomous labs exchange data, reasoning, and experiments across institutions. It unifies instrumentation, intelligent data management, and agentic decisioning through a shared data fabric.
- Instrument integration
Standardized interfaces that let agents control heterogeneous lab assets. - AI decision loops
Models and agents that adapt experiments based on live observations. - Interoperable protocols
Secure, cross-lab communication for coordinated workflows.
Seven dimensions of autonomous science
Our 2026 roadmap organizes the community agenda around seven dimensions — the five we have tracked since AISLE began, plus trust and safety, elevated to first-class concerns because the past year showed them to be prerequisites rather than refinements.
Instrument and cyberinfrastructure integration
Vendor-neutral access to self-driving laboratories, with AI inference moving onto the instruments themselves.
Agent-driven data management
Provenance and quality enforced at the point of capture, where scarce data are made AI-ready by construction.
Agent-driven orchestration
Reasoning agents that plan and coordinate specialized scientific methods, and explain why a result holds.
Interoperable agent interfaces
The consolidating MCP and A2A stack, now joined by an emerging skills layer.
Education and workforce development
The judgment to resist the homogenizing pull of automation.
Trust, verification, and reproducibility
Verification and validation across the lifecycle as a first-class requirement.
Safety, security, integrity, and governance
Screening and accountability where digital design meets physical execution.
The two-year roadmap
Seven dimensions, eighteen milestones, and a scorecard of what the community has actually achieved.
Read the roadmapPrograms and community
We convene workshops, publish reports, and share open roadmaps to align the community around shared technical standards, infrastructure, and governance.
Workshops
Deep technical exchanges on agentic labs, AI workflows, and infrastructure.
View upcoming workshopsBoF Sessions
Open forums to surface requirements and accelerate collaboration.
Browse Birds of a FeatherReports
Community-authored documents that capture progress and open challenges.
See community reportsSteering Council
Cross-institution leadership guiding strategy and interoperability priorities.
Meet the councilBuild the autonomous science fabric with us
Join laboratories, HPC centers, and AI teams working to scale autonomous discovery across scientific domains.