research
∙
06/01/2023
An FPGA Architecture for Online Learning using the Tsetlin Machine
There is a need for machine learning models to evolve in unsupervised ci...
share
research
∙
05/22/2023
IMBUE: In-Memory Boolean-to-CUrrent Inference ArchitecturE for Tsetlin Machines
In-memory computing for Machine Learning (ML) applications remedies the ...
research
∙
05/19/2023
Energy-frugal and Interpretable AI Hardware Design using Learning Automata
Energy efficiency is a crucial requirement for enabling powerful artific...
research
∙
09/02/2021
Self-timed Reinforcement Learning using Tsetlin Machine
We present a hardware design for the learning datapath of the Tsetlin ma...
research
∙
02/02/2021
QoS-Aware Power Minimization of Distributed Many-Core Servers using Transfer Q-Learning
Web servers scaled across distributed systems necessitate complex runtim...
research
∙
01/27/2021
Low-Power Audio Keyword Spotting using Tsetlin Machines
The emergence of Artificial Intelligence (AI) driven Keyword Spotting (K...
research
∙
12/07/2020
Low-Latency Asynchronous Logic Design for Inference at the Edge
Modern internet of things (IoT) devices leverage machine learning infere...
research
∙
07/04/2020
A Novel Multi-Step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning
Due to the high energy consumption and scalability challenges of deep le...
research
∙
10/15/2019
