Author: SRI International
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Can we put a hospital on wheels?
SRI is working on a mobile healthcare platform that aims to improve healthcare access and health outcomes across rural America.
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Microbes make nutritious meals out of air
An SRI-led team has succeeded in creating a food product rich in essential nutrients, suitable for quickly scaling up disaster relief in remote locations.
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The Odessa Journal covers SRI’s Deep Tech Security Accelerator
The new SRI-led program is mentoring Ukrainian entrepreneurs focused on strengthening Ukraine’s defense capabilities.
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Sketching the future of arts education in California
A 2022 California law provided funds for arts and music education in state public schools. A new policy brief by SRI details what it will take to prepare and hire the necessary teachers.
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Thomas Kelley-Kemple
Thomas Kelley-Kemple, Education Researcher, SRI Education
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Reimagining Instructional Coaching in Early Education (RICiEE)
SRI is building the next generation of tools to support early childhood educators. Reimagining Instructional Coaching in Early Education (RICiEE) is an ongoing initiative that aims to expand access to high-quality early childhood education by improving the usefulness, usability, and scalability of classroom quality measurements. The RICiEE team partners with early childhood educators, early learning…
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Eagle Camera
A highly specialized camera, known for its exceptional speed and sensitivity, that enables detailed, high-resolution 3D imaging
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PARC Forum: FutureFest 2025 with Astro Teller
Our first PARC Forum of 2025 asked: What emerging technologies are poised to fundamentally transform the way we work, play, and live?
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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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Parker Solar Probe: Our closest look at the sun
SRI imaging technology supports a record-shattering NASA mission.
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Recognizing the life and work of Mary Wagner
A cherished SRI colleague and globally respected leader in education research, Mary Wagner leaves behind an extraordinary legacy of groundbreaking work supporting children and youth with disabilities and their families.