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Self-timed Reinforcement Learning using Tsetlin Machine


Sep 02, 2021
Adrian Wheeldon, Alex Yakovlev, Rishad Shafik


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QoS-Aware Power Minimization of Distributed Many-Core Servers using Transfer Q-Learning


Feb 02, 2021
Dainius Jenkus, Fei Xia, Rishad Shafik, Alex Yakovlev

* Presented at DATE Friday Workshop on System-level Design Methods for Deep Learning on Heterogeneous Architectures (SLOHA 2021) (arXiv:2102.00818) 

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Low-Power Audio Keyword Spotting using Tsetlin Machines


Jan 27, 2021
Jie Lei, Tousif Rahman, Rishad Shafik, Adrian Wheeldon, Alex Yakovlev, Ole-Christoffer Granmo, Fahim Kawsar, Akhil Mathur

* Pre-print of original submission to Journal of Low Power Electronics and Applications, 2021 
* 20 pp 

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Low-Latency Asynchronous Logic Design for Inference at the Edge


Dec 07, 2020
Adrian Wheeldon, Alex Yakovlev, Rishad Shafik, Jordan Morris


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A Novel Multi-Step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning


Jul 04, 2020
K. Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad Shafik, Alex Yakovlev, Adrian Wheeldon, Jie Lei, Morten Goodwin

* 10 pages, 8 figures, 7 tables 

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Neural Network Design for Energy-Autonomous AI Applications using Temporal Encoding


Oct 15, 2019
Sergey Mileiko, Thanasin Bunnam, Fei Xia, Rishad Shafik, Alex Yakovlev, Shidhartha Das


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