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The Alif Blog

Founder Insights: Building the Future of Edge AI Microcontrollers

Reza Kazerounian shares how Alif Semiconductor is advancing edge AI with ultra-low power microcontrollers, Arm-based NPUs, and scalable MCU architectures for embedded AI and generative AI at the edge.

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Edge AI Meets Wearables: Inside Everysight’s Maverick Smart Glasses Powered by Alif Ensemble E7

Everysight’s Maverick smart glasses show what happens when edge AI, optics, and system design finally come together. Powered by Alif’s Ensemble E7, the platform delivers real-time, on-device intelligence in a lightweight, all-day wearable form factor. This article explores how that balance enables practical AR and AI experiences that move smart glasses closer to everyday use.

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Stuck on how to get the best value out of edge AI? Here’s some inspiration.

Explore practical examples of edge AI on microcontrollers, including voice, vision, vibration analysis, and ultra-low-power sensing, and learn how Alif Ensemble and Balletto enable intelligent embedded designs.

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Growing MCU capabilities shift more AI from the cloud to the edge

Battery life (the time between charges) is a crucial figure of merit for many types of portable, wearable, mobile and remotely located devices, from smart glasses and smart watches to agricultural sensors for measuring soil conditions or animal health. We now know from research cited in an earlier blog that energy consumption can be at least five times lower when AI inference is performed locally on an ESP32-S3 system-on-chip (SoC) than when raw data is transferred wirelessly to the cloud for inference.

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