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MCU offers on-chip AI/ML acceleration

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The Ensemble E1C microcontroller from Alif combines numerous digital and analog capabilities with an on-chip neural processing unit (NPU). It’s Arm Ethos-U55 NPU delivers up to 46 GOPs, enabling the E1C to perform AI/ML tasks and application control functions at ultra-low power levels. The company anticipates that the E1C MCU will unlock new opportunities for machine learning in highly compact and power-efficient embedded systems and IoT devices.

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Along with the NPU, the E1C packs a 160-MHz Arm Cortex-M55 CPU core with a Helium vector processing extension and up to 2 Mbytes of tightly coupled SRAM in its tiny 3.9×3.9-mm WLCSP. The MCU’s power management unit dynamically powers only the logic and associated memory that are in use at any given time to achieve the lowest overall system power consumption. It also implements four system-level power modes, including a stop mode that draws just 700 nA.

The E1C microcontroller offers two 12-bit SAR ADCs, a 24-bit sigma-delta ADC, a 12-bit DAC, and an internal reference voltage, allowing rapid signal processing from external sensors. Serial communication interfaces include USB 2.0, SDIO, two CAN FD, and I3C. In addition to the 90-bump WLCSP, Alif offers the E1C in 64-lead TQFP and 120-bump FBGA packages.

Ensemble E1C microcontrollers and DK-E1 development kits will be available to lead customers in August 2024, with production ramping in 4Q 2024.

Ensemble E1C product page

Alif Semiconductor 

Find more datasheets on products like this one at Datasheets.com, searchable by category, part #, description, manufacturer, and more.

The post MCU offers on-chip AI/ML acceleration appeared first on EDN.


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