SRI International
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Early Lessons Launching Open Education Resource Degrees in Community Colleges
SRI recently released our first report on the Open Education Resource (OER) Degree Initiative, an effort led by Achieving the Dream (ATD), a network of more than 200 community colleges, to boost college access and student success. The program supports the redesign of courses needed for a degree using OER materials in place of proprietary…
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Filament Extension Atomization of Polymer Melts: A Novel Approach for Generating Powders for Selective Laser Sintering
Leveraging on recent developments on PARCs Filament Extension Atomizer (FEA), we present a novel approach for generating micron-sized powders out of a wide range of thermoplastics, for use in selective laser sintering.
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Enabling the quantum industry
The SRI-managed Quantum Economic Development Consortium is devoted to enabling the real-world application of quantum technology.
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A Framework for Using Hypothesis-Driven Approaches to Support Data-Driven Learning Analytics in Measuring Computational Thinking in Block-Based Programming Environments
The goal of this research is to explore hypothesis-driven approaches that can be combined with data-driven ones to better interpret student actions and processes in log data captured from block-based programming environments with the goal of measuring and assessing students’ CT skills.
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Leveraging Deep Neural Network Activation Entropy to Cope with Unseen Data in Speech Recognition
This work aims to estimate the propagation of such distortion in the form of network activation entropy, which is measured over a short-time running window on the activation from each neuron of a given hidden layer, and these measurements are then used to compute summary entropy.
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Improving Robustness of Speaker Recognition to New Conditions Using Unlabeled Data
We benchmark these approaches on several distinctly different databases, after we describe our SRICON-UAM team system submission for the NIST 2016 SRE.
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Inferring Stance from Prosody
Speech conveys many things beyond content, including aspects of stance and attitude that have not been much studied.
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Calibration Approaches for Language Detection
In this paper, we focus on situations in which either (1) the system-modeled languages are not observed during use or (2) the test data contains OOS languages that are unseen during modeling or calibration.
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Closing the Floodgate with Stateless Content-Centric Networking
Abstract Information-Centric Networking (ICN) is a recent paradigm that claims to mitigate some limitations of the current IP-based Internet architecture. The centerpiece of ICN is named and addressable content, rather than hosts or interfaces. Content- Centric Networking (CCN) is a prominent ICN instance that shares the fundamental architectural design with its equally popular academic sibling…
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The Mad Science behind Autonomy and AI in the Military
While the U.S. military is laser focused on day-to-day operations, it always has an eye on the future. More specifically, on how to encourage innovation and leverage technologies, products and approaches that can better ensure mission success. This past spring I had the pleasure of speaking at the Mad Scientist Conference on Robotics, Artificial Intelligence…
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Plasticity-Related Gene Expression During Eszopiclone-Induced Sleep
We used the expression of plasticity-related genes to assess synaptic plasticity changes during drug-induced sleep.
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Promising Model for Supporting Beginning Teachers
Imagine being a new teacher, thrust into your first classroom and given sole responsibility for managing the students, planning and executing the lessons, and assessing student learning. Imagine your first teaching experience being in a school with high teacher turnover, high student mobility, and limited resources to support you, working with students whose needs—financial and…