Research
Where the future unfolds
When you’ve led research and innovation for close to 80 years, it’s no longer work; it’s part of who you are.
At SRI, we’re part problem solver, part tech maverick. We’re always diving deeper and collaborating further to pioneer world-changing solutions for a safer, healthier, and more sustainable future.
Innovating in
Research, always applied
See how everyday exploration delivers in the real world.
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PARC Forum: The AI boom and its impact on society
Bloomberg’s Parmy Olson joined SRI’s Patrick Lincoln to discuss the future of AI and her new book, Supremacy: AI, ChatGPT, and the Race that Will Change the World.
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Wafer-thin optical arrays could revolutionize satellite-to-satellite communication
SRI’s light emitter arrays aim to democratize optical communication among “constellations” of small satellites.
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SRI identifies predictors of adolescent obesity
As part of a nationwide longitudinal study of adolescent brain development, researchers use AI to analyze data to pinpoint obesity risk factors.
“Achievements like the first malaria medicine and key cancer-fighting drugs continue to power our passion to lead world-renowned research programs in sleep, addiction, menopause, treatment delivery, and other pressing concerns in our world today.”
Kathlynn BrownPresident, SRI Biosciences
How we work
SRI’s divisions and researchers work cross-functionally because we know that groundbreaking research and transformative solutions come to light when people come together to look at problems from new angles and perspectives.
Publications
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The Comparative Genome Dashboard
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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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…
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SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments
We present SayNav, a new approach that leverages human knowledge from Large Language Models (LLMs) for efficient generalization to complex navigation tasks in unknown large-scale environments.