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Ensuring Robust Edge Security in Microcontrollers

By processing data closer to where it’s generated, edge systems significantly reduce latency and bandwidth usage. However, this decentralization introduces new security challenges, as edge devices typically operate outside traditional, secure networks. As edge devices have proliferated, they continue to become attractive targets for malicious activities, including sophisticated cyber-attacks.

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Alif Processors Power Saving Features

The Ensemble family of processors from Alif Semiconductor are designed to be energy efficient with an architecture capable of deployment in battery powered environments. Alif processors use energy efficient cores capable of waking up to perform tasks and sleeping to save energy. This contrasts with high powered devices that are always-on and must stay plugged in to a power source.

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How Machine Learning Transforms the Landscape For Embedded IoT Devices

The Ensemble family from Alif Semiconductor is among the first of this new generation of devices to reach the market, delivering more than 480 times the inferencing performance of the fastest conventional MCUs based on Cortex-M cores. The family contains single core and dual core Cortex-M55 MCUs, accelerated with Ethos-U55, as well as multicore fusion processors that combine Cortex-M55, Ethos-U55, and Cortex-A32.

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AI/ML Design Flows

Alif’s MCUs are equipped with one or two “ML islands”. Each of these islands consists of a combination of Cortex-M55 and Ethos-U55 NPU (neural processing unit). The following document describes the steps how a model, that was trained and converted to a TFLite (quantized) format, needs to be further processed so it can take advantage of the NPU inference acceleration.

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