Join us for an exclusive deep dive into BrainChip’s AkidaTag Platform — bringing always-on AI inference to the battery-powered edge. BrainChip experts Nikunj Kotecha and Tharak Krishnan will introduce the platform architecture, walk through the system overview of AkidaTag, and explore how always-on sensing enables continuous intelligence — without draining the battery or sending data to the cloud.
Why AkidaTag Changes Edge AI
Always-On
Continuous AI inference at ultra-low power, across multi-day battery life.
Privacy-First
All data stays on the device, no cloud dependency, ever.
Self-Learning
Users Personalize the device to their own voice, accent, or gestures.
What to Expect
System Overview
Explore the architecture of the AkidaTag Platform — hardware components, Akida neural processor integration, and the always-on inference pipeline.
Models
Walk through the AI models running on AkidaTag, including DS_CNN for Keyword Spotting — all optimized for continuous, on-device inference at the edge.
Use Cases
Review real-world applications of the AkidaTag Platform across consumer electronics, wearables, smart home devices, and industrial sensing.
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