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We seek to investigate the scalability of neuromorphic computing for computer vision, with the objective of replicating non-neuromorphic performance on computer vision tasks while reducing power consumption.
Multilevel algorithms for multi-constraint graph partitioning
George Karypis and Vipin Kumar · 1998
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Each Organ Has a Unique Metabolic Profile
Stryer L Berg JM, Tymoczko JL · 2002
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Nengo: A Python tool for building large-scale functional brain models
Trevor Bekolay, James Bergstra, Eric Hunsberger, Travis DeWolf, Terrence C Stewart, Daniel Rasmussen, Xuan Choo, Aaron R. Voelker, and Chris Eliasmith · 2014
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Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition
Yongqiang Cao, Yang Chen, and Deepak Khosla · 2014
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Crowdsourcing the creation of image segmentation algorithms for connectomics
Ignacio Arganda-Carreras, Srinivas C. Turaga, Daniel R. Berger, Dan Cireşan, Alessandro Giusti, Luca M. Gambardella, Jürgen Schmidhuber, Dmitry Laptev, Sarvesh Dwivedi, Joachim M. Buhmann, Ting Liu, Mojtaba Seyedhosseini, Tolga Tasdizen, Lee Kamentsky, Radim Burget, Vaclav Uher, Xiao Tan, Changming Sun, Tuan D. Pham, Erhan Bas, Mustafa G. Uzunbas, Albert Cardona, Johannes Schindelin, and H. Sebastian Seung · 2015
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dandelion Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2015
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Hyperopt: a python library for model selection and hyperparameter optimization
James Bergstra, Brent Komer, Chris Eliasmith, Dan Yamins, and David D Cox · 2015
Cited alongside, same era.
METIS - Serial Graph Partitioning and Fill-reducing Matrix Ordering, 2015
Karypis Lab · 2015
Cited alongside, same era.
Loihi: A neuromorphic manycore processor with on-chip learning
Mike Davies, Narayan Srinivasa, Tsung-Han Lin, Gautham Chinya, Yongqiang Cao, Sri Harsha Choday, Georgios Dimou, Prasad Joshi, Nabil Imam, Shweta Jain, et al · 2018
Cited alongside, same era.
Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware
Peter Blouw, Xuan Choo, Eric Hunsberger, and Chris Eliasmith · 2018
Cited alongside, same era.
Spiking Deep Neural Networks: Engineered and Biological Approaches to Object Recognition
Eric Hunsberger · 2018
Cited alongside, same era.
NengoDL: Combining deep learning and neuromorphic modelling methods
Daniel Rasmussen · 2019
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Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future, 2020
Lindsay, G. W · 2020
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Event-Driven Visual-Tactile Sensing and Learning for Robots
Tasbolat Taunyazov, Weicong Sng, Brian Lim, Hian Hian See, Jethro Kuan, Abdul Fatir Ansari, Benjamin Tee, and Harold Soh · 2020
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Hand-Gesture Recognition Based on EMG and Event-Based Camera Sensor Fusion: A Benchmark in Neuromorphic Computing
Enea Ceolini, C. Frenkel, S. Shrestha, G. Taverni, Lyes Khacef, M. Payvand, and Elisa Donati · 2020
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Neuromorphic Computing for Content-based Image Retrieval
Te-Yuan Liu, Ata Mahjoubfar, Daniel Prusinski, and Luis Stevens · 2020
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Spiking Neural Network on Neuromorphic Hardware for Energy-Efficient Unidimensional SLAM
G. Tang, A. Shah, and K. P. Michmizos · 2019
Cited alongside, same era.
https://developer.nvidia.com/tensorrt
TensorRT · 2020
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