innovating in

Artificial Intelligence

Working across disciplines to deliver on AI’s promise

We’ve engaged in AI research for more than 50 years, creating and delivering world-changing advances like the first mobile robot with the ability to perceive and reason, commercial-quality speech recognition, and the Siri virtual personal assistant.

Today, AI technology — and the creation of new AI technology — are core to the research of many groups across SRI. Our researchers collaborate to build systems that sense, model, and learn to create ever more capable applications. Our approach is human-centered, emphasizing system transparency and explainability to address the critical issues of predictability and reliability of AI-based systems. Contact us to learn more.

“We work across disciplines and in close collaboration with our government and commercial customers to create new technologies, while strengthening the guardrails, so we can all truly benefit from AI’s extraordinary promise.”

Real-world impact

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Core AI technologies and applications

Bioinformatics databases

BioCyc database collection

A comprehensive website for sharing fundamental information about biochemical pathways and genomes with researchers around the world

EcoCyc: encyclopedia of E. coli genes and metabolism

A bioinformatics database that describes the genome, metabolic network, and regulatory network of Escherichia coli

Recent publications

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  • Medical Procedure Tracking using Abductive Planning – A PARADIGM Shift

    Abstract This paper presents PARACHUTE, a Prolog-based frame-work for abductive trace completion and projection for real-time medical procedure tracking and guidance, developed as part of the AI-powered AMIRA system in the ARPA-H PAR-ADIGM program. PARADIGM aims to expand access to high-quality healthcare in rural America by upskilling healthcare workers. Our key contribution is a neuro-symbolic…

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    Interpolative Decoding:  Exploring the Spectrum of Personality Traits in LLMs

    Abstract Recent research has explored using very large language models (LLMs) as proxies for humans in tasks such as simulation, surveys, and studies. While LLMs do not possess a human psychology, they often can emulate human behaviors with sufficiently high fidelity to drive simulations to test human behavioral hypotheses, exhibiting more nuance and range than…

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    Building a Virtual Member of a Community of Practice

    Abstract We describe a virtual member of a knowledge management Community of Practice (CoP), called ATHENA, that knows an individual, his tasks, his organization, and the community. ATHENA employs an agentic chat capability that combines embeddings with knowledge-based faceted search to provide accurate responses to technical questions along with rationale and citations for efficient validation.…

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