“Enabling Ultra-low Power Edge Inference and On-device Learning with Akida,” a Presentation from BrainChip

Nandan Nayampally, Chief Marketing Officer at BrainChip, presents the “Enabling Ultra-low Power Edge Inference and On-device Learning with Akida” tutorial at the May 2023 Embedded Vision Summit.

The AIoT industry is expected to reach $1T by 2030—but that will happen only if edge devices rapidly become more intelligent. In this presentation, Nayampally shows how BrainChip’s Akida IP solution enables improved edge ML accuracy and on-device learning with extreme energy efficiency. Akida is a fully digital, neuromorphic, event-based AI engine that offers unique on-device learning abilities, minimizing the need for cloud retraining.

Nayampally demonstrates Akida’s compelling performance and extreme energy efficiency on complex models and explains how Akida executes spatial-temporal convolutions using innovative handling of 3D and 1D data. He also shows how Akida supports low-power implementations of vision transformers and introduces the Akida developer ecosystem, which enables both AI experts and newcomers to quickly deploy disruptive edge AI applications that weren’t possible before.

See here for a PDF of the slides.

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