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eess.SP2021
Self-timed Reinforcement Learning using Tsetlin Machine
Adrian Wheeldon, Alex Yakovlev, Rishad Shafik
We present a hardware design for the learning datapath of the Tsetlin machine algorithm, along with a latency analysis of the inference datapath. In order to generate a low energy…
eess.SP2020
Low-Latency Asynchronous Logic Design for Inference at the Edge
Adrian Wheeldon, Alex Yakovlev, Rishad Shafik +1
Modern internet of things (IoT) devices leverage machine learning inference using sensed data on-device rather than offloading them to the cloud. Commonly known as inference at-the…
eess.SP2019
A Pulse Width Modulation based Power-elastic and Robust Mixed-signal Perceptron Design
Sergey Mileiko, Rishad Shafik, Alex Yakovlev +1
Neural networks are exerting burgeoning influence in emerging artificial intelligence applications at the micro-edge, such as sensing systems and image processing. As many of these…