Future Concepts division- publications
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Leveraging Multiple GPUs and CPUs for Graphlet Counting in Large Networks
In this paper, we propose a key class of hybrid parallel graphlet algorithms that leverages multiple CPUs and GPUs simultaneously for computing k-vertex induced subgraph statistics (called graphlets).
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Diagnosing PARC’s Refrigerator Benchmark with Data-Driven Methods
Diagnosing real-world systems is a challenging task due to, e.g., complexity, measurement error and lack of control in experimentation.
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Diagnosing PARC’s Refrigerator Benchmark with Data-Driven Methods
Diagnosing real-world systems is a challenging task due to, e.g., complexity, measurement error and lack of control in experimentation.
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Electron beam pumping for high power deep-UV emitters
This presentation will discuss the challenges, illustrate the current status of materials/device development, and describe the necessary building blocks, which include highly conductive p-type cladding layers, sophisticated electron-blocking layers, and…
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Polymer Spray Deposition: A Novel Aerosol-Based, Electrostatic Digital Deposition System for Additive Manufacturing
In order to create a feedstock aerosol for electrostatic deposition, PARC has developed the filament extension atomizer (FEA) which is capable of producing monodisperse small droplets from thermoplastics.
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Integrated Digital Printing of Flexible Circuits for Wireless Sensing
At PARC, we combine high functionality c-Si CMOS and digitally printed components and interconnects to create an integrated platform that can read and process multiple discrete sensors.
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Additive Manufacturing of Functionally Graded Objects: A Review
In this paper, we focus on providing an overview of research at the intersection of AM techniques and FGM objects.
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Relational Similarity Machines
In this work, we propose Relational Similarity Machines (RSM) a fast, accurate, and flexible relational learning framework for supervised and semi-supervised classification problems.
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Trust in Content-Centric Networking: From Theory to Practice
We present the logical design of a trust engine for Information-Centric Networking (ICN) that is capable of efficiently and correctly verifying content integrity and authenticity.
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Matrix factorization-based clustering of image features for bandwidth-constrained information retrieval
We consider the problem of accurately and efficiently querying a remote server to retrieve information about images captured by a mobile device.
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Challenges in Formulating Explanatory Models for Co-morbidities
Abstract Patients with multiple health conditions pose significant challenges for modern healthcare. Understanding if and how these conditions are linked is essential to providing effective treatment. Physicians and researchers create…
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Improving the Robustness of Team Collaboration through Analysis of Qualitative Interactions
We introduce coordination rules that facilitate collaboration between autonomous agents when communication is lost.