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Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices [article]

Byung Hoon Ahn, Jinwon Lee, Jamie Menjay Lin, Hsin-Pai Cheng, Jilei Hou, Hadi Esmaeilzadeh
2020 arXiv   pre-print
Recent advances demonstrate that irregularly wired neural networks from Neural Architecture Search (NAS) and Random Wiring can not only automate the design of deep neural networks but also emit models  ...  Current compilers do not schedule with regard to activation memory footprint that it significantly increases its peak compared to the optimum, rendering it not applicable for edge devices.  ...  We also thank Harris Teague and Jangho Kim for the fruitful discussions and feedbacks on the manuscript, and Parham Noorzad for his help with the mathematical formulations to calculate the complexity of  ... 
arXiv:2003.02369v1 fatcat:gtn2yplmdrcyfc6xwq7567zc5i

A Behavioral and Biological Analysis of Aesthetics: Implications for Research and Applications

Francis Mechner
2017 The Psychological Record  
mirror (I identified a total of 16 such devices).  ...  The examined effects were created by various concept manipulation devices: class expansion, identification of new relations, repetition, symmetry, parsimony, and emotional displays for the audience to  ...  The main explanation is that order allows for more and better prediction and control than chaos. Order is associated with simplicity, and simplicity with parsimony.  ... 
doi:10.1007/s40732-017-0228-1 fatcat:mk5nb4eoanho7nw3drckxdn6ce

Table of Contents

2016 Australian Journal of Primary Health  
coordination of distributed sensing devices in order to collectively optimize their network attenuation, area coverage, or sensing schedules.  ...  Visualizing Large Medical Data Sets on Memory Constrained Mobile Devices Chris Schultz and Mike Bailey School of Electrical Engineering and Computer Science Graphics hardware in mobile devices has  ... 
doi:10.1071/pyv22n4toc fatcat:hrwhnxdpjreslhuwi7y4edqmo4

Strategies for spatial music performance: the practicalities and aesthetics of responsive systems design

Ricky Graham, Brian Bridges
2015 Divergence Press  
Reviewers Selection The re-new call for participation was published March 29, 2013, and is republished below. A total of 358 submissions were made in all categories of the call.  ...  Paper track Of 112 submissions in the different paper categories, the following numbers of submissions have been selected: 51 oral presentations 8 workshops Art track Of 246 submissions in different artwork  ...  It is possible to follow the stimuli through the responsive neural pathways and through this simulation gain greater understandings of neural networks.  ... 
doi:10.5920/divp.2015.33 fatcat:xbb7altyobafvfiidg2adzn7l4

Fake BTS Attacks of GSM System on Software Radio Platform

Yubo Song, Kan Zhou, Xi Chen
2012 Journal of Networks  
The first paper, "Extensive Design for Attack's Recognition and Resistance of Survivable Network" by Hui Xu and Xiang Gu, gives a solution of attack defense of survivable network based on extentics.  ...  The contradictory characteristic of survivability of borderless network is explained. The extension model and algorithms of recognition and resistance of attacks is presented.  ...  , neural networks, immune-based and so on.  ... 
doi:10.4304/jnw.7.2.275-281 fatcat:3ejjimllcvewjeifopbvhl3zmi

Genetic Programming III - Darwinian Invention and Problem Solving

Peter Nordin
1999 Evolutionary Computation  
Finally, we thank our families for their patience for yet another project that took Dad away for significant periods of time.  ...  Acknowledgments We would like to acknowledge the help of our editor, Denise Penrose, and that of Edward Wade and Emilia Thiuri, at Morgan Kaufmann Publishers.  ...  In his resonating phrase, this is "computation on the edge of chaos." Why the "edge of chaos?"  ... 
doi:10.1162/evco.1999.7.4.451 fatcat:27732t6mfvgt7mzpbvkrv6wcqm

A Model for Online Interactive Remote Education for Medical Physics Using the Internet

Milton K Woo, Kwan-Hoong Ng
2003 Journal of Medical Internet Research  
TU-C4-02 Bayesian Artificial Neural Networks in the Computerized Detection of Mass Lesions M Kupinski*, D Edwards, M Giger, A Baehr, University of Chicago, Chicago, IL Artificial neural networks (ANNs)  ...  An artificial neural network (ANN) is used for combining these multiscale features for classification of lesions, and its performance is measured by the area under the ROC curve (Az).  ...  The effect of K edge is seen clearly on the transmitted spectra for Cu to Au filters.  ... 
doi:10.2196/jmir.5.1.e3 pmid:12746208 pmcid:PMC1550549 fatcat:tsyf45yusza2jiglkq62rgo3qm

Treatment of early and late reflections in a hybrid computer model for room acoustics

Graham Naylor
1992 Journal of the Acoustical Society of America  
An artificial neural network model of human sound localization. T. R. Anderson (Armstrong Lab., AL/CFBA, Wright-Patterson AFB, Dayton, OH 45433-6573), J. A.  ...  Gilkey (AL/CFBA, Wright-Patterson AFB, Dayton, OH 45433-6573 and Wright State Univ., Dayton, OH 45435) An artificial neural network was trained to identify the location of sound sources using the head-related  ...  The method uses an observing neural network called a meta-neural network (MNN) to direct the training of a conventional word-to-action mapping neural network.  ... 
doi:10.1121/1.404930 fatcat:xeehcxepjvhuzmnaeudpqxtnvu

Predicting room acoustical behavior with the ODEON computer model

Graham Naylor, Jens Holger Rindel
1992 Journal of the Acoustical Society of America  
An artificial neural network model of human sound localization. T. R. Anderson (Armstrong Lab., AL/CFBA, Wright-Patterson AFB, Dayton, OH 45433-6573), J. A.  ...  Gilkey (AL/CFBA, Wright-Patterson AFB, Dayton, OH 45433-6573 and Wright State Univ., Dayton, OH 45435) An artificial neural network was trained to identify the location of sound sources using the head-related  ...  The method uses an observing neural network called a meta-neural network (MNN) to direct the training of a conventional word-to-action mapping neural network.  ... 
doi:10.1121/1.404931 fatcat:z4hbezklfzgu7hyy7qvos3wyo4

Modeling and experiments with low‐frequency pressure wave propagation in liquid‐filled, flexible tubes

Cato Bjelland, Leif Bjo/rno/
1992 Journal of the Acoustical Society of America  
An artificial neural network model of human sound localization. T. R. Anderson (Armstrong Lab., AL/CFBA, Wright-Patterson AFB, Dayton, OH 45433-6573), J. A.  ...  Gilkey (AL/CFBA, Wright-Patterson AFB, Dayton, OH 45433-6573 and Wright State Univ., Dayton, OH 45435) An artificial neural network was trained to identify the location of sound sources using the head-related  ...  The method uses an observing neural network called a meta-neural network (MNN) to direct the training of a conventional word-to-action mapping neural network.  ... 
doi:10.1121/1.404777 fatcat:xhmwz65h5bbqxbt52khae2rq7q

Scattering by two spheres: Theory and experiment

Irina Bjo/rno/, Leif Bjo/rno/
1998 Journal of the Acoustical Society of America  
High-frequency and complex vibrations have been shown to be very effective for ultrasonic wire bonding of IC, LSI, or various electronic devices.  ...  Neural networks were trained to map from the settings of the articulatory synthesizer to the positions of pellets over limited sets of vowels.  ...  by the activity of neurons at the corresponding place in the neural array.  ... 
doi:10.1121/1.421626 fatcat:qf2u35fztjfgtgredwhbg53zwm

Ray tracing in a turbulent, shallow‐water channel

Christian Bjerrum‐Niese, René Lützen, Leif Bjo/rno/
1998 Journal of the Acoustical Society of America  
High-frequency and complex vibrations have been shown to be very effective for ultrasonic wire bonding of IC, LSI, or various electronic devices.  ...  Neural networks were trained to map from the settings of the articulatory synthesizer to the positions of pellets over limited sets of vowels.  ...  by the activity of neurons at the corresponding place in the neural array.  ... 
doi:10.1121/1.422455 fatcat:vqypn7trzberzap3bkznkoddcu

JSE 30:1 Whole Issue PDF

Kathleen E. Erickson
2016 Journal of Scientific Exploration  
Richard Wiseman for comments on the manuscript. Ethical Statement. There were no ethical issues. Funding Statement. No sources of funding. Data Accessibility.  ...  AJS supplied some of the source material, and suggested improvements in the manuscript. Acknowledgements  ...  This chaos may itself be necessary in order that anything possibly dreamed of in IR may come to exist as CR.  ... 
doaj:e3888d712c7b49afa461835969a57bfd fatcat:t3gz7rpn2fdpzekt3hvrrh2qsa

Performance of optimized sound field control techniques in simulated and real acoustic environments

Philip Coleman, Martin Møller, Martin Olsen, Marek Olik, Philip Jackson, Jan Abildgaard Pedersen
2012 Journal of the Acoustical Society of America  
Apart from an unexpected reduction of time in the REM-stage for the exposure with lower maximum level, there was no impact of the reduction of maximal levels for the sleep parameters recorded.  ...  Acoustical issues are raised from these studies, such as, does the classical parameter of reverberation time still adequate for qualifying the acoustics for a roofless courtyard theatre, or for an amphitheatre  ...  A simple distributed networking protocol for underwater acoustic networks.  ... 
doi:10.1121/1.4709059 fatcat:5yv7djzdifgwvlzymric4u65oa

Discrimination of short speech‐like formant transitions

Astrid van Wieringen, Louis C. W. Pols
1992 Journal of the Acoustical Society of America  
An artificial neural network model of human sound localization. T. R. Anderson (Armstrong Lab., AL/CFBA, Wright-Patterson AFB, Dayton, OH 45433-6573), J. A.  ...  Gilkey (AL/CFBA, Wright-Patterson AFB, Dayton, OH 45433-6573 and Wright State Univ., Dayton, OH 45435) An artificial neural network was trained to identify the location of sound sources using the head-related  ...  Previous results are extended to two neural network implementations of continuity mapping. Both networks are tested on a two-dimensional spatial analog of the articulator tracking problem.  ... 
doi:10.1121/1.405128 fatcat:dbtewzqvijhkta6op7ul3ribti
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