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.
Innovating in
“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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Can AI help us identify scientific breakthroughs?
SRI’s PARC Forum discussed AIs impact on the scientific community and how its shaping future discoveries.
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SRI-spinout Wingsure helps coffee farms build consistent intelligence
The new smartphone platform gives growers a single, verified record across various programs.
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Reuters covers SRI’s work in the ARPA-H-funded PARADIGM program
The program aims to bring care to rural areas as hospitals close.
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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Assessment of the impact of manual curation in BioCyc
Abstract Introduction: BioCyc is an extensive collection of databases of genomic and pathway information for microorganisms and model eukaryotes. These organismal databases integrate diverse biological data by combining computationally inferred information, data imported from other databases, and, for selected organisms, literature-based manual curation. This study investigates the magnitude and significance of annotation changes performed during…
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MIL-BERT: Classification of Arbitrarily Large Text with Performance and Explanatory Guarantees
Abstract Objective/Background Most artificial intelligence systems can analyze only a limited amount of text at once. Shortening a document can remove important evidence, while processing the entire document may require substantial computing resources and offer little insight into how a prediction was made. We introduce MIL-BERT, a method for efficiently classifying long documents and large…
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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…