SRI International
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The SRI Education Newsletter | Spring 2026
This newsletter includes the latest findings from SRI Education project teams and a broad range of resources designed to support positive outcomes across early learning, K–12, and postsecondary education.
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Safe and Accessible Data Interactions in Education (SADIE)
SADIE is a middleware framework designed to make AI-powered data science education tools safer, more accessible, and developmentally appropriate for students.
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How AI can improve student data literacy
SRI education and AI experts collaborate to help students thrive in a data-driven world.
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From Developmental Concerns to Identification: How Early Childhood Education and Care Shapes Support
SRI investigated how early care settings shape the recognition of developmental concerns and coordination of services.
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PARC Forum: The future of defense technologies
Silicon Valley is paying close attention to the defense sector. SRI convened a conversation exploring new opportunities to advance security through innovation.
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Partnering with Faith Communities to Expand Early Care and Education Access for Children in Foster Care
This brief presents findings about Arkansas faith-based ECE programs’ participation in state quality rating and child care subsidy systems.
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Cale Gentry: Steering light, tracking lasers, and going quantum
Gentry explores how SRI research is pushing the envelope of photonics, optics, and quantum technologies.
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Raising young children alongside companion AIs: Are we ready for the consequences?
SRI’s Todd Grindal makes the case for putting child development science at the center of AI design.
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QED-C delivers a multi-year quantum supply chain project
The SRI-managed Quantum Economic Development Consortium contributes new approaches to control and readout systems, which will accelerate quantum manufacturing.
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DUDA: Distilled unsupervised domain adaptation for lightweight semantic segmentation
Abstract Unsupervised Domain Adaptation (UDA) is essential for enabling semantic segmentation in new domains without requiring costly pixel-wise annotations. State-of-the-art (SOTA) UDA methods primarily use self-training with architecturally identical teacher and student networks, relying on Exponential Moving Average (EMA) updates. However, these approaches face substantial performance degradation with lightweight models due to inherent architectural inflexibility…
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Case study: How SRI’s spinout of LeoLabs launched a revolution in low earth orbit intelligence
By pursuing a new application for its proven radar technology, SRI transformed its orbital intelligence capabilities into a startup that’s securing both commercial and defense-related space missions.
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Delivering the technologies that keep America safe
From the ARPANET to National Guard training to advances in digital lowlight imaging, SRI has made monumental contributions to national defense.