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Artificial Intelligence
Working across disciplines to deliver on the promise of AI
SRI has engaged in leading-edge artificial intelligence research for more than 50 years. We created the AI Center, one of the earliest labs focused on AI, where we delivered world-changing advances like the first mobile robot with the ability to perceive and reason, commercial quality speech recognition, and the original 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.
Innovating in
Real-world impact
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SRI’s Genome Explorer: Enhanced genome browser delivers better user experience
Navigating genomes just became easier with dynamically responsive zoom and high-density display.
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SRI researchers use AI to study deadly viruses
Machine learning algorithms identify how hemorrhagic fever viruses hijack human cells.
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SRI demonstrates the impact of “small AI” for experts
DASL combines machine learning and human expertise to provide insights for a variety of applications.
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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The Genome Explorer Genome Browser
In this paper we report on a major update to our browser, Genome Explorer, that provides nearly instantaneous scaling and traversing of a genome, enabling users to quickly and easily zoom into an area of interest.
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Automating the Derivation of Unification Algorithms. A Case Study in Deductive Program Synthesis
The unification algorithm has long been a target for program synthesis research, but a fully automatic derivation remains a research goal.
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An Evaluation of ChatGPT and Bard (Gemini) in the Context of Biological Knowledge Retrieval
We evaluate the effectiveness of chatbots in retrieving biological knowledge for curation and research purposes.