SRI International
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Studying Implementation of Secondary Introductory Computer Science: Preliminary Results (Abstract Only)
Education researchers have extensively studied how secondary teachers adopt and adapt new curriculum and new teaching practices, especially in science and mathematics.
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Diagnosing Alternative Facts
This paper presents an approach to applying model-based diagnosis to the task of interpreting information from a wide variety of sources: text, video, meta-data, audio, etc.
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Manufacturable Flexible Hybrid Oral Biochemistry Sensing System (invited)
PARC and UCSD are developing a flexible-hybrid electronics (FHE) biosensor platform to enable continuous remote monitoring of bioanalyte concentrations in saliva.
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Structural and optical characterization of AlGaN multiple quantum wells grown on semipolar (20-21) bulk AlN substrate
Heterostructures of AlGaN with multiple quantum wells were grown by MOVPE on semipolar (20-21) bulk AlN substrates.
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Building Code for the Internet of Things
In this document, we focus on the challenges associated with composing systems, rather than building individual programs or devices.
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Principled Assessment of Student Learning in High School Computer Science
In the US, the new K12 CS Framework and aligned CSTA standards, and the Common Core State Standards and Next Generation Science Standards all include guidance related to computational thinking practices.
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RF Energy Harvesting Peel-and-Stick Sensors
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Peel-and-Stick Sensors Powered by Directed RF Energy
PARC is developing a low-cost system of peel-and-stick wireless sensors that will enable widespread building environmental sensor deployment with the potential to deliver up to 30% energy savings.
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Chat it up: Backchanneling to promote reflective practice among in-service teachers
This study examined the nature and quality of peer feedback exchanged in the digital medium and gauged graduate students’ impressions of the technology, with potential for carryover into their professional practices in P–12 instruction.
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Automated Image Analysis and Classification Tool Based on Computer Vision Deep Learning Technologies
We present a rapid underwater video and automated image analysis tool using computer vision deep learning technologies.
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Advances in Automated Stock Assessment Based on Computer Vision Deep Learning Technologies
We present a rapid fish assessment method leveraging computer vision deep learning technologies to provide both (1) rapid fish annotation and (2) fish classification with fish counting.
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BitNet: Bit-Regularized Deep Neural Networks
We present a novel optimization strategy for training neural networks which we call “BitNet”. Our key idea is to limit the expressive power of the network by dynamically controlling the range and set of values that the parameters can take.