SRI International
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Learning with Local Gradients at the Edge
To enable learning on edge devices with fast convergence and low memory, we present a novel backpropagation-free optimization algorithm dubbed Target Projection Stochastic Gradient Descent (tpSGD).
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ENVision: Lifting the veil of the night using lightweight night vision glasses
DARPA and SRI seek to create night vision glasses that see clearly even in the darkest of situations.
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A Framework for understanding and Visualizing Strategies of RL Agents
We present a framework for learning comprehensible models of sequential decision tasks in which agent strategies are characterized using temporal logic formulas.
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SRI International launches commercialization group, announces new president
Suresh Sunderrajan to lead, define and accelerate SRI’s commercialization opportunities.
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The Role of California’s County Offices of Education and Implications for Arts Education
This study describes the COE role in arts education, examines how COE activities have shifted in response to California’s Local Control Funding Formula, and examines how these changes may affect access, participation, quality, and equity in arts education in K-12 schools.
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A dataset reflecting the multidimensionality of insomnia symptomatology in adolescence using standardized questionnaires
Psychological and behavioral questionnaire data are provided for 95 adolescents (age range between 16-19 years, 62% female) with and without clinical or subclinical insomnia symptoms, determined from the Diagnostic and Statistical Manual of Mental Disorders (DSM-5).
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Featured innovator: Satabdi Basu
An education in AI intersects with computational thinking
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Understanding the entire quantum computing landscape
A new QED-C® study explores the diverse range of potential applications and early standardization efforts within the industry.
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Experimental Evaluation of Subject Matter Expert-Oriented Knowledge Base Authoring Tools
We describe a large-scale experiment in which non-artificial intelligence subject matter experts (SMEs)—with neither artificial intelligence background nor extensive training in the task—author knowledge bases (KBs) following a challenge problem specification with a strong question-answering component.
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Geodesics on an Arbitrary Ellipsoid of Revolution
The present paper seeks to extend the treatment to arbitrary ellipsoid (in this paper, the term “ellipsoid” should be understood to mean “ellipsoid of revolution”).
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Contemporary screen time modalities and disruptive behavior disorders in children: a prospective cohort study
This study’s objective was to determine the prospective associations of contemporary screen time modalities with conduct and oppositional defiant disorder in a national cohort of 9–11-year-old children.
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Suzanne Paley
Senior Computer Scientist, Artificial Intelligence Center