A Rapid Pipeline for Training and Deploying ML Models on WeBe Band

arXiv:2609.29084 · cs.AI, cs.LG, cs.PF · Submitted 2026-09-24 · Read on arXiv

cs.AI, cs.LG, cs.PF

Submitted: 2026-09-24

Updated: 2026-09-24

Code: https://github.com/sensiml/piccolo

Project page: https://healthetile.io

Terminology

Neural Network — 17× in this paper
Knowledge Pack — 7× in this paper
Random Forest — 7× in this paper
Accuracy — 6× in this paper · explained in 1 episode
Edge Devices — 5× in this paper · explained in 2 episodes
Pattern Matching Engine — 5× in this paper
Edge AI — 4× in this paper · explained in 2 episodes
Quantization — 3× in this paper · explained in 12 episodes
Adaptation — 2× in this paper · explained in 1 episode
Benchmark — 2× in this paper · explained in 2 episodes
Benchmarking — 2× in this paper · explained in 4 episodes
Feature Extraction — 2× in this paper · explained in 2 episodes
Generalization — 2× in this paper · explained in 13 episodes
Robustness — 2× in this paper · explained in 5 episodes
Abstraction — 1× in this paper · explained in 1 episode
Adam — 1× in this paper · explained in 2 episodes
Algorithmic Improvements — 1× in this paper · explained in 1 episode
Clustering — 1× in this paper · explained in 2 episodes
Core — 1× in this paper · explained in 2 episodes
Downstream Tasks — 1× in this paper · explained in 2 episodes
Fidelity — 1× in this paper · explained in 2 episodes
Regularization — 1× in this paper · explained in 3 episodes
Trace — 1× in this paper · explained in 2 episodes

Sources

Benchmarking TinyML Systems: Challenges and Direction

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