Mike Davies

According to our database, Mike Davies authored at least 21 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Efficient Video and Audio Processing with Loihi 2.

Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

The Intel neuromorphic DNS challenge.

Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Adam Kupryjanow, Garrick Orchard, Lukasz Pindor, Timothy M. Shea, Mike Davies

Neuromorph. Comput. Eng., September, 2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.

Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi

CoRR, 2023

2022

Efficient Neuromorphic Signal Processing with Resonator Neurons.

Edward Paxon Frady, Sophia Sanborn, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Garrick Orchard, Friedrich T. Sommer, Mike Davies

J. Signal Process. Syst., 2022

Vector Symbolic Architectures as a Computing Framework for Emerging Hardware.

Denis Kleyko, Mike Davies, Edward Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer

Proc. IEEE, 2022

2021

Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook.

Mike Davies, Andreas Wild, Garrick Orchard, Yulia Sandamirskaya, Gabriel A. Fonseca Guerra, Prasad Joshi, Philipp Plank, Sumedh R. Risbud

Proc. IEEE, 2021

Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware.

Denis Kleyko, Mike Davies, Edward Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer

CoRR, 2021

Lessons from Loihi: Progress in Neuromorphic Computing.

Mike Davies

Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021

Efficient Neuromorphic Signal Processing with Loihi 2.

Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies

Proceedings of the IEEE Workshop on Signal Processing Systems, 2021

2020

Neuromorphic Nearest Neighbor Search Using Intel's Pohoiki Springs.

Edward Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

2019

Learning Algorithms and Signal Processing for Brain-Inspired Computing [From the Guest Editors].

Osvaldo Simeone, Bipin Rajendran, André Grüning, Evangelos Eleftheriou, Mike Davies, Sophie Denève, Guang-Bin Huang

IEEE Signal Process. Mag., 2019

Benchmarks for progress in neuromorphic computing.

Mike Davies

Nat. Mach. Intell., 2019

Progress in Neuromorphic Computing : Drawing Inspiration from Nature for Gains in AI and Computing.

Mike Davies

Proceedings of the International Symposium on VLSI Design, Automation and Test, 2019

2018

Loihi: A Neuromorphic Manycore Processor with On-Chip Learning.

Mike Davies, Narayan Srinivasa, Tsung-Han Lin, Gautham N. Chinya, Yongqiang Cao, Sri Harsha Choday, Georgios D. Dimou, Prasad Joshi, Nabil Imam, Shweta Jain, Yuyun Liao, Chit-Kwan Lin, Andrew Lines, Ruokun Liu, Deepak Mathaikutty, Steven McCoy, Arnab Paul, Jonathan Tse, Guruguhanathan Venkataramanan, Yi-Hsin Weng, Andreas Wild, Yoonseok Yang, Hong Wang

IEEE Micro, 2018

Programming Spiking Neural Networks on Intel's Loihi.

Chit-Kwan Lin, Andreas Wild, Gautham N. Chinya, Yongqiang Cao, Mike Davies, Daniel M. Lavery, Hong Wang

Computer, 2018

Mapping spiking neural networks onto a manycore neuromorphic architecture.

Chit-Kwan Lin, Andreas Wild, Gautham N. Chinya, Tsung-Han Lin, Mike Davies, Hong Wang

Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2018

Loihi Asynchronous Neuromorphic Research Chip.

Andrew Lines, Prasad Joshi, Ruokun Liu, Steve McCoy, Jonathan Tse, Yi-Hsin Weng, Mike Davies

Proceedings of the 24th IEEE International Symposium on Asynchronous Circuits and Systems, 2018

2017

Sparse Coding by Spiking Neural Networks: Convergence Theory and Computational Results.

Ping Tak Peter Tang, Tsung-Han Lin, Mike Davies

CoRR, 2017

2014

A 72-Port 10G Ethernet Switch/Router Using Quasi-Delay-Insensitive Asynchronous Design.

Mike Davies, Andrew Lines, Jon Dama, Alain Gravel, Robert Southworth, Georgios D. Dimou, Peter A. Beerel

Proceedings of the 20th IEEE International Symposium on Asynchronous Circuits and Systems, 2014

2011

One billion packet per second frame processing pipeline.

Mike Davies

Proceedings of the 2011 IEEE Hot Chips 23 Symposium (HCS), 2011

2006

Slack Matching Asynchronous Designs.

Peter A. Beerel, Nam-Hoon Kim, Andrew Lines, Mike Davies

Proceedings of the 12th IEEE International Symposium on Asynchronous Circuits and Systems (ASYNC 2006), 2006