VISION: A Modular AI Assistant Enhancing Natural Human-Instrument Interaction in Scientific Facilities

The development of the Virtual Scientific Companion (VISION) utilizes generative AI to enhance the operations of synchrotron beamlines, which are crucial for advanced material science research. VISION’s modular architecture consists of cognitive blocks (cogs), each linked to large language models (LLMs) for specific tasks like transcription, operation, analysis, and user assistance. This enables natural language interactions, allowing researchers to control complex instruments through voice commands. The prototype has successfully demonstrated low-latency operations in beamline experiments, introducing a novel voice-controlled approach. The system’s architecture is adaptable, facilitating seamless integration with various instruments and workflows. The insights gained can significantly streamline experimental processes while aiming for the concept of a scientific exocortex, enhancing researchers’ cognitive capabilities. Through these advancements, VISION represents a pivotal step towards more intuitive and efficient scientific experimentation, promising augmented human-AI collaboration in future discoveries.

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