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Hypervector Design for Efficient Hyperdimensional Computing on Edge Devices

tinyML via YouTube

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Overview

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This research talk presents hypervector design as a multi-objective optimization problem for hyperdimensional computing on edge devices. It examines accuracy–robustness trade-offs and hardware results showing reductions in model size, inference time, and energy consumption.

Syllabus

WEARABLE HEALTH MONITORING
Hyperdimensional Computing - What is it?
Hyperdimensional Computing - Brain-Inspired?
Baseline Hyperdimensional Computing (HDC)
Motivational Example
Optimization Problem Formulation
Optimization Problem Solution
Benchmark Applications
Accuracy vs. Robustness Trade-off
Evaluation on Hardware
Accuracy Evaluation
NEURAL PROCESSING
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tinyML

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