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."
Reviewing the Apple AirPods Pro 3, The New York Times turned to SRI’s Dimitra Vergyri to unpack the significance of recent advances in translation tech.
Core AI technologies and applications
Scene recognition and understanding
Person recognition and tracking
Mapping and localization
Text understanding and summarization
Predictive analytics
Conversational assistants
Intent recognition
Explainable systems
Mixed-initiative planning
Supervised autonomy
Adaptive planning and resource allocation
Multi-agent coordination
Decision-making under uncertainty
Bioinformatics
Leveraging large language and other foundation models
We introduce ToMCAT, a framework that integrates Theory-of-Mind (ToM) reasoning with a multiagent diffusion model to generate team-aware plans conditioned on agents’ goals and inferred teammate characteristics. Experiments in a simulated domain demonstrate that agents with more ToM capabilities outperform ones without ToM and that ToMCAT’s dynamic replanning mechanism significantly improves resource efficiency while maintaining…
A community curation workshop by researchers and students resulted in a new manually-curated genome and metabolic pathway database in BioCyc for the model marine bacterium Alteromonas macleodii ATCC 27126. The curation of this bacterium from peer-review literature illustrates the current knowledge of the organism and highlights gaps in knowledge that serve as starting points for…
The Comparative Genome Dashboard is a web-based software tool for interactive exploration of the similarities and differences in gene functions between organisms.
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