SRI International
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Low Precision Neural Networks using Subband Decomposition
In this paper, we present a unique approach using lower precision weights for more efficient and faster training phase.
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Achieving Differential Privacy in Secure Multiparty Data Aggregation Protocols on Star Networks
We consider the problem of privacy-preserving data aggregation in a star network topology, i.e., several untrusting participants connected to a single aggregator.
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Transient electronics based on frangible stress-engineered glass substrates
We present an approach to transience electronics where transience is achieved by fracturing electronic components into small pieces and widely dispersing the fragments over a large area.
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Mapping the Hypocretin/Orexin Neuronal System: An Unexpectedly Productive Journey
Early in 1998, we (and others) described the same hypothalamic neuropeptides, respectively called the hypocretins or orexins, which were discovered using two different approaches.
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Insights from Linked Learning into Equitable Career Pathway Implementation
In SRI International’s new brief, Access and Equity in Linked Learning, we share what we’ve learned about the promise and challenges of achieving equitable, career-themed pathways from our 7-year study of Linked Learning. Linked Learning is an approach to transforming the high school experience by creating academically rigorous, career-themed pathways in either stand-alone small schools or academies within large…
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Measuring Student Learning in Introductory Block-Based Programming: Examining Misconceptions of Loops, Variables, and Boolean Logic
This research aims to develop assessment items for measuring student understanding in introductory CS classrooms in middle school using a principled approach for assessment design.
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Learner Modeling for Adaptive Scaffolding in a Computational Thinking-Based Science Learning Environment
We develop a learner modeling and adaptive scaffolding framework for CTSiM –an open ended learning environment that supports synergistic learning of science and Computational Thinking for middle school students.
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Impact of the National Writing Project’s College-Ready Writers Program in High-Need Rural Districts
This paper reports on a district-randomized controlled trial of the National Writing Project’s College-Ready Writers Program (CRWP), implemented in high-need rural districts in 10 states.
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Toward human-assisted lexical unit discovery without text resources
This work addresses lexical unit discovery for languages without (usable) written resources.
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Zeroizing Attacks on Indistinguishability Obfuscation over CLT13
In this work, we describe a new polynomial-time attack on the multilinear maps of Coron, Lepoint, and Tibouchi, when used in candidate indistinguishability obfuscation schemes.
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How big is that? Reporting the Effect Size and Cost of ASSISTments in the Maine Homework Efficacy Study
In this technical report, we present alternatives for explaining the effect size, building on the guidance of Lipsey et al., a leading researcher who developed broad recommendations for effect size reporting.
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Joint modeling of articulatory and acoustic spaces for continuous speech recognition tasks
This paper investigates using deep neural networks (DNN) and convolutional neural networks (CNNs) for mapping speech data into its corresponding articulatory space.