4 citations · 5 across the 4 of their papers we have counts for
7 papers
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…
QoS-Aware Power Minimization of Distributed Many-Core Servers using Transfer Q-Learning
Dainius Jenkus, Fei Xia, Rishad Shafik +1
Web servers scaled across distributed systems necessitate complex runtime controls for providing quality of service (QoS) guarantees as well as minimizing the energy costs under dy…
Low-Power Audio Keyword Spotting using Tsetlin Machines
Jie Lei, Tousif Rahman, Rishad Shafik +5
The emergence of Artificial Intelligence (AI) driven Keyword Spotting (KWS) technologies has revolutionized human to machine interaction. Yet, the challenge of end-to-end energy ef…
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…
A Novel Multi-Step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning
K. Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad Shafik +4
Due to the high energy consumption and scalability challenges of deep learning, there is a critical need to shift research focus towards dealing with energy consumption constraints…
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…