SRI International
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SRI spin-out Confidencial delivers innovations in data privacy
A new approach to making privacy protections granular in existing business applications.
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Saccade Mechanisms for Image Classification, Object Detection and Tracking
We examine how the saccade mechanism from biological vision can be used to make deep neural networks more efficient for classification and object detection problems.
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Heavy-Ion-Induced Lung Tumors: Dose- & LET-Dependence
The goal of this study is to reduce uncertainties in estimating particle-radiation-induced risk of lung tumorigenesis for manned travel into deep space by improving our understanding of the high-LET-dependent dose-response from exposure to individual ion beams after low particle doses.
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Space is getting crowded, so this startup built a solution
Bloomberg’s Hello World finds out how SRI spin-out LeoLab’s tech might keep low Earth orbit less chaotic
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A virtual reality-based mind–body approach to downregulate psychophysiological arousal in adolescent insomnia
A novel, digital, immersive virtual reality (VR)-based mind–body approach, designed to reduce bedtime arousal in adolescents with insomnia.
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SRI International developing first-ever quantum manufacturing technology roadmap
SRI and QED-C to leverage team of industry, national lab and academic partners to develop roadmap.
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Promises and pitfalls of positive behavioral interventions and supports
Students who are Black, Latinx, and Native American are more likely than White students to be suspended or expelled – even when comparing consequences for the same infractions.
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Ryan Lewis
Senior Director, SRI Ventures
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Conformal Prediction Intervals for Markov Decision Process Trajectories
This paper extends previous work on conformal prediction for functional data and conformalized quantile regression to provide conformal prediction intervals over the future behavior of an autonomous system executing a fixed control policy on a Markov Decision Process.
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Optimized Simultaneous Aided Target Detection and Imagery based Navigation in GPS-Denied Environments
We describe and demonstrate a comprehensive optimized vision-based real-time solution to provide SATIN capabilities for current and future UAS in GPS-denied environments.
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Conformal Prediction Intervals for Markov Decision Process Trajectories
This paper extends previous work on conformal prediction for functional data and conformalized quantile regression to provide conformal prediction intervals over the future behavior of an autonomous system executing a fixed control policy on a Markov Decision Process (MDP).
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SRI Ventures announces new spin-out, Confidencial, to secure sensitive information and collaboration for distributed enterprises
Confidencial secures seed funding to add privacy-preserving cryptographic tech to existing business applications.