Survey of machine learning for electronic design automation
An increase in demand for semiconductor ICs, recent advancements in machine learning,
and the slowing down of Moore's law have all contributed to the increased interest in using …
and the slowing down of Moore's law have all contributed to the increased interest in using …
Automated synthesis of asynchronous Tsetlin machines on FPGA
G Mao, A Yakovlev, F ** of asynchronous circuits on fpga under timing constraints
Asynchronous circuits have many advantages in applications such as event-driven
neuromorphic and brain-inspired computing. However, they are time-consuming to …
neuromorphic and brain-inspired computing. However, they are time-consuming to …
Super-Tsetlin: Superconducting Tsetlin Machines
The recently proposed Tsetlin machine (TM) is a low-complexity and versatile machine
learning architecture that learns a collection of propositional clauses to describe or classify …
learning architecture that learns a collection of propositional clauses to describe or classify …
An asynchronous tsetlin automaton architecture with integrated non-volatile memory
This paper presents an asynchronous Tsetlin Automaton (TA) architecture based on non-
volatile memory technology. The use of non-volatile local storage in TA states aims to …
volatile memory technology. The use of non-volatile local storage in TA states aims to …
Design of Event-Driven Tsetlin Machines Using Safe Petri Nets
In the last decade, there has been a significant shift towards the use of machine learning
(ML) within the technology industry. One prominent ML algorithm is the Tsetlin Machine …
(ML) within the technology industry. One prominent ML algorithm is the Tsetlin Machine …
Variable Duty Cycle Pulse Generation for Low Complexity Randomization in Machine Learning
Randomization constitutes a major part in stochastic machine learning (ML) training
processes. Typically, linear feedback shift register (LFSR) is used for periodic …
processes. Typically, linear feedback shift register (LFSR) is used for periodic …
Asynchronous Control for Tsetlin Machine with Binary Memristor-Transistor Array
O Ghazal, G Maot, T Lan, J Ojukwu… - … on Circuits and …, 2023 - ieeexplore.ieee.org
Tsetlin machines (TMs) are a novel machine learning paradigm based on learning automata
and Boolean logic inference, with better energy-efficiency and explainability than neural …
and Boolean logic inference, with better energy-efficiency and explainability than neural …