IoT Trends: Embedded ML in Your Edge Devices
■Intelligence is moving down to the‘edge’to keep processing as close as possible to the source of data
■Edge AI refers to any device with the capabilities to process AI workload
■Tiny Edge – sensor class devices or small application processors, typically Cortex M class (M33, M4 or equivalent/below) run TinyML applications
■TinyML Characteristics:
● Ultra-low power applications and systems(
● Algorithms, networks, and models down to < hundreds of kB
● Efficient ML accelerators
● Low cost, optimized, well integrated systems
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EFR32 、 MG24 、 SiWx917 、 xG24-DK2601B 、 EFR32FG28 |
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[ Motor dirves ][ electrical drives ][ Factory machinery vibration ][ Factory tool vibration ][ Valves ][ pressure sensors ][ pumps ][ Noise detection from bearings ][ Heat measurement of lubricant ][ Heat measurement of fluid ] |
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Datasheet |
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Please see the document for details |
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English Chinese Chinese and English Japanese |
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August 2023 |
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4.9 MB |
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