4 papers
Fast and Compact Tsetlin Machine Inference on CPUs Using Instruction-Level Optimization
Yefan Zeng, Shengyu Duan, Rishad Shafik +1
The Tsetlin Machine (TM) offers high-speed inference on resource-constrained devices such as CPUs. Its logic-driven operations naturally lend themselves to parallel execution on mo…
A Tsetlin Machine Image Classification Accelerator on a Flexible Substrate
Yushu Qin, Marcos L. L. Sartori, Shengyu Duan +3
This paper introduces the first implementation of digital Tsetlin Machines (TMs) on flexible integrated circuit (FlexIC) using Pragmatic's 600nm IGZO-based FlexIC technology. TMs,…
Efficient FPGA Implementation of Time-Domain Popcount for Low-Complexity Machine Learning
Shengyu Duan, Marcos L. L. Sartori, Rishad Shafik +2
Population count (popcount) is a crucial operation for many low-complexity machine learning (ML) algorithms, including Tsetlin Machine (TM)-a promising new ML method, particularly…
ETHEREAL: Energy-efficient and High-throughput Inference using Compressed Tsetlin Machine
Shengyu Duan, Rishad Shafik, Alex Yakovlev
The Tsetlin Machine (TM) is a novel alternative to deep neural networks (DNNs). Unlike DNNs, which rely on multi-path arithmetic operations, a TM learns propositional logic pattern…