4 papers
TsetlinWiSARD: On-Chip Training of Weightless Neural Networks using Tsetlin Automata on FPGAs
Shengyu Duan, Marcos L. L. Sartori, Rishad Shafik +1
Increasing demands for adaptability, privacy, and security at the edge have persistently pushed the frontiers for a new generation of machine learning (ML) algorithms with training…
Eventizing Traditionally Opaque Binary Neural Networks as 1-safe Petri net Models
Mohamed Tarraf, Alex Chan, Alex Yakovlev +1
Binary Neural Networks (BNNs) offer a low-complexity and energy-efficient alternative to traditional full-precision neural networks by constraining their weights and activations to…
TsetlinKWS: A 65nm 16.58uW, 0.63mm2 State-Driven Convolutional Tsetlin Machine-Based Accelerator For Keyword Spotting
Baizhou Lin, Yuetong Fang, Renjing Xu +2
The Tsetlin Machine (TM) has recently attracted attention as a low-power alternative to neural networks due to its simple and interpretable inference mechanisms. However, its perfo…
AI-Based Clinical Rule Discovery for NMIBC Recurrence through Tsetlin Machines
Saram Abbas, Naeem Soomro, Rishad Shafik +2
Bladder cancer claims one life every 3 minutes worldwide. Most patients are diagnosed with non-muscle-invasive bladder cancer (NMIBC), yet up to 70% recur after treatment, triggeri…