embedded ai
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This STM32N6 Turns Speech Into Text Offline Using Its NPU and a 7.2M-Parameter ASR Model The STM32N6 is being used to run an offline speech recognition system that can turn spoken English into text without a network connection. The project runs on the STM32N6570-DK, using its onboard microphone to capture speech and its display to show the recognized words. This system is designed to recognize different English words. At the core is the STM32N6's Arm Cortex-M55 and its ST Neural-… |
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Cat Collar Fits Two AI Models' Runtime Memory Into 48KB of Its 256KB RAM by Never Running Them Together An open source project called Meowtion packs two on device AI models onto a single microcontroller with only 256KB of RAM, using a scheduling trick rather than model compression to make it fit. Built by Jerome Graves and documented on Hackaday.io, the wearable collar tracks a cat's eating, drinking, and resting behaviour to flag early changes that can precede illness. The collar runs on… |
