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Thu 16 Jul16:003 mo ago
NewsBB-0129youtube.com
FWAuto demo: one prompt to a verified gesture model on an STM32F4 Discovery
FWAuto's 3.6-minute video runs its own firmware agent through an STM32 edge-AI job on an STM32F4DISCOVERY board. The agent checks the toolchain, integrates an existing NanoEdge AI library, and builds and flashes over ST-LINK. From 02:52 it verifies gestures on the board and writes an evidence report. Model training is outside the demo's scope.
Shown working
Wed 20 May14:595 mo ago
NewsBB-0054arxiv.org
AutoMCU: a multi-agent system that designs neural networks to fit STM32 microcontrollers
Penglin Dai and co-authors describe AutoMCU, an LLM multi-agent system that designs neural networks to fit a microcontroller's RAM and flash limits. Vendor toolchain checks reject candidates that would not fit before any training. The paper reports competitive CIFAR accuracy after 1 to 2 hours of customization and tests on several STM32 parts; no code is linked.
Claimed