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cs.LG2025
Ariel-ML: Computing Parallelization with Embedded Rust for Neural Networks on Heterogeneous Multi-core Microcontrollers
Zhaolan Huang, Kaspar Schleiser, Gyungmin Myung +1
Low-power microcontroller (MCU) hardware is currently evolving from single-core architectures to predominantly multi-core architectures. In parallel, new embedded software building…
cs.LG2025
TinyDéjàVu: Smaller RAM and Faster Inference with Neural Networks on MCUs for Sensor Data Streams
Zhaolan Huang, Emmanuel Baccelli
Examples of embedded intelligence include a wide variety of tiny neural networks used on-board wireless sensors and actuators, which are expected to continuously perform inference…
cs.LG2025
msf-CNN: Patch-based Multi-Stage Fusion with Convolutional Neural Networks for TinyML
Zhaolan Huang, Emmanuel Baccelli
AI spans from large language models to tiny models running on microcontrollers (MCUs). Extremely memory-efficient model architectures are decisive to fit within an MCU's tiny memor…