Alex Yakovlev | DeepAI

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An FPGA Architecture for Online Learning using the Tsetlin Machine

There is a need for machine learning models to evolve in unsupervised ci...

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∙ 05/22/2023

IMBUE: In-Memory Boolean-to-CUrrent Inference ArchitecturE for Tsetlin Machines

In-memory computing for Machine Learning (ML) applications remedies the ...

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∙ 05/19/2023

Energy-frugal and Interpretable AI Hardware Design using Learning Automata

Energy efficiency is a crucial requirement for enabling powerful artific...

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∙ 09/02/2021

Self-timed Reinforcement Learning using Tsetlin Machine

We present a hardware design for the learning datapath of the Tsetlin ma...

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∙ 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...

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∙ 01/27/2021

Low-Power Audio Keyword Spotting using Tsetlin Machines

The emergence of Artificial Intelligence (AI) driven Keyword Spotting (K...

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∙ 12/07/2020

Low-Latency Asynchronous Logic Design for Inference at the Edge

Modern internet of things (IoT) devices leverage machine learning infere...

0 Adrian Wheeldon, et al. ∙

∙ 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...

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Neural Network Design for Energy-Autonomous AI Applications using Temporal Encoding

Neural Networks (NNs) are steering a new generation of artificial intell...

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