INFORMATION AND
COMPUTING SCIENCES

Shaping the future of computing to benefit society  

We’re taking on some of the world’s most important challenges, creating leading-edge technology solutions that have revolutionary impact. Our researchers are redefining the way human beings interact with machines and with one another through machines, as we define what’s next in artificial intelligence, machine learning, intelligent design, and computing for the real world. Contact us to learn more.

200+Research and technical staff, including 55% PhDs

$100M+Annual research funding

$1B+Created via spinoffs

“Machine learning creates boundless potential across education, avionics, biosciences, human-machine-team collaboration, high-assurance systems, telepresence, augmented reality, and other areas.  SRI is well-positioned to make an impact across all of these.”

PATRICK LincolnPresident, Information and Computing Sciences Division

The future of how humans meet machines  

Our research brings commercial, government, corporate, and startup customers depth of knowledge and new solutions in AI, bioinformatics, cybersecurity, privacy, and reliable system design. We’re pushing the boundaries of machine learning, including neurosymbolic approaches and AI at the edge. As we increasingly rely on AI models, autonomous systems, and the digital world, this research is taking on greater urgency and importance. We’re applying our research to making the Internet and social media more transparent, including the worldwide problem of identifying fake information.

SRI has pioneered transformative machine vision innovations. Today, we’re exploring the next frontiers of virtual and augmented reality — not just talking to our computers, but also seeing the world through them. We also do fundamental work in speech, assessing speaker characteristics like identity and level of engagement and understanding the nuances of spoken conversation.  

Find out about our labs

At SRI, we have the opportunity — and responsibility — to impact the world through our research. We not only influence the world through publication, but our four laboratories also make a definitive impact on society by bringing our discoveries into the real world.  

Real-world impact

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Publications

publications

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    Enabling Scalable Mineral Exploration: Self-Supervision and Explainability

    Abstract Machine Learning (ML) for Mineral Prospectivity Mapping (MPM) is important for automating and accelerating the workflow to critical mineral assessment. Recent MPM works have explored Deep Learning (DL) as a modeling tool with more representation capacity. However, these overparameterized methods may be more prone to overfitting due to their reliance on scarce labeled data…

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    GFM4MPM: Towards Geospatial Foundation Models for Mineral Prospectivity Mapping

    Abstract Machine Learning (ML) for Mineral Prospectivity Mapping (MPM) remains a challenging problem as it requires the analysis of associations between large-scale multi-modal geospatial data and a few historical mineral commodity observations (positive labels). Recent MPM works have explored Deep Learning (DL) as a modeling tool with more representation capacity. However, these overparameterized methods may…

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    CyanoCyc Cyanobacterial Web Portal

    CyanoCyc is a web portal that integrates an exceptionally rich database collection of information about cyanobacterial genomes with an extensive suite of bioinformatics tools.