SRI International
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IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit based on Analyses of Interestingness
Our tool provides various measures of RL agent competence stemming from interestingness analysis and is applicable to a wide range of RL algorithms, natively supporting the popular RLLib toolkit.
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Elizabeth Fortescue: Translating quantum models into prototypes
Fortescue is using her mechanical engineering expertise to bring quantum concepts to reality for physicists.
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Higher blood pressure and weight observed among early adolescents during the COVID-19 pandemic
The aim of this study is to quantify differences in blood pressure and weight before and during the COVID-19 pandemic among a demographically diverse national sample of early adolescents.
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The Menstrual Cycle and Sleep
Although objective sleep continuity remains unchanged across the regular, asymptomatic menstrual cycle, activity in the sleep electroencephalogram varies.
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Association of the rs17782313, rs17773430 and rs34114122 Polymorphisms of/near MC4R Gene with Obesity-Related Biomarkers in a Spanish Pediatric Cohort
Our results highlight that metabolic risk factors, especially alterations in carbohydrate metabolism, were related to rs17782313.
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Sarah Bakst
Advanced Linguist, Speech Technology and Research Lab
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60 years of pioneering technology and transforming industries in Japan
SRI celebrates its rich history of groundbreaking technological advancements and transformative technologies.
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Jennifer Tschantz
Principal Senior Early Childhood TA Specialist and Researcher, SRI Education
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A new augmented reality system delivers a smoother, more immersive experience
By combining ground and aerial views with computer-generated elements, users on the ground view a more accurate augmented reality experience.
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Nevada Early Care and Education Workforce Framework
This framework outlines a comprehensive plan of action to increase public awareness and mobilize support for sustained investments in Nevada’s early care and education (ECE) workforce.
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SRI Early Childhood State Systems Building Webinar Series
The Early Childhood Learning & Development team at SRI Education held a four-part Early Childhood State Systems Building Webinar Series.
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Evaluation of a device-agnostic approach to predict sleep from raw accelerometry data collected by Apple Watch Series 7, Garmin Vivoactive 4, and ActiGraph GT9X Link in children with sleep disruptions
This study demonstrates that raw acceleration data from consumer wearable devices has the potential to be harnessed to predict sleep in children.