Good news! The dawn of automated scientific research thanks to ML & AI!
"The Shanghai Artificial Intelligence Laboratory released the Science Context Protocol, an open-source standard designed to connect AI agents, researchers, and lab equipment across institutional boundaries. SCP builds on Anthropic’s Model Context Protocol by adding structured experiment metadata, centralized hub architecture for coordinating multiple agents, intelligent workflow orchestration, and standardized drivers for lab devices.
The protocol already supports over 1,600 scientific tools spanning biology, physics, chemistry, and materials science, and enables automated workflows from experimental design through execution and validation. Researchers can deploy their own SCP infrastructure or use the lab’s hosted Intern-Discovery platform to register and share resources."
From the abstract:
"We introduce SCP: the Science Context Protocol, an open-source standard designed to accelerate discovery by enabling a global network of autonomous scientific agents.
SCP is built on two foundational pillars:
(1) Unified Resource Integration: At its core, SCP provides a universal specification for describing and invoking scientific resources, spanning software tools, models, datasets, and physical instruments. This protocol-level standardization enables AI agents and applications to discover, call, and compose capabilities seamlessly across disparate platforms and institutional boundaries.
(2) Orchestrated Experiment Lifecycle Management: SCP complements the protocol with a secure service architecture, which comprises a centralized SCP Hub and federated SCP Servers.
This architecture manages the complete experiment lifecycle (registration, planning, execution, monitoring, and archival), enforces fine-grained authentication and authorization, and orchestrates traceable, end-to-end workflows that bridge computational and physical laboratories.
Based on SCP, we have constructed a scientific discovery platform that offers researchers and agents a large-scale ecosystem of more than 1,600 tool resources. Across diverse use cases, SCP facilitates secure, large-scale collaboration between heterogeneous AI systems and human researchers while significantly reducing integration overhead and enhancing reproducibility.
By standardizing scientific context and tool orchestration at the protocol level, SCP establishes essential infrastructure for scalable, multi-institution, agent-driven science."
SCP: Accelerating Discovery with a Global Web of Autonomous Scientific Agents (preprint, open access, 106 pages)
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