SRI International
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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
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Student Transitions: Part 2 College & Career | SRI Education’s 3-Part Summer Newsletter Series on Transitions
Our research continues to focus on ways to strengthen critically important transitions so all students, from early childhood to college and careers, feel supported and ready to move forward…
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Augmented Reality for Marine Fire Support Team Training
To provide FiSTs with the “sets and reps” required to develop and maintain proficiency, the Office of Naval Research 3D Warfighter Augmented Reality (3D WAR) program is developing an affordable augmented reality (AR) field simulator.
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Using AI to evolve the green status dot
With remote work and skyrocketing usage of digital workplace tools, status has become more critical than ever.
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Cell-Based Platform for Antigen Testing and Its Application for SARS-CoV-2 Infection
We have engineered a cell that can be used for diagnosing active severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections.
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Adrienne Woods
Senior Education Researcher, SRI Education
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Towards Understanding Confusion and Affective States Under Communication Failures in Voice-Based Human-Machine Interaction
We present a series of two studies conducted to understand user’s affective states during voice-based human-machine interactions.
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Incremental Learning with Differentiable Architecture and Forgetting Search
In this paper, we show that leveraging NAS for incremental learning results in strong performance gains for classification tasks.