This video steps through the process of how the Akida neural processor can performan on chip incremental learning using 1-shot or mutli-shot learning.

In this demonstration, the BrainChip Engineering team shows human gesture recognition using spiking input on Akida™ neuromorphic platform – NeurIPS Vancouver 2019

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BrainChip provides a Market Update on March 25, 2020. This update precedes the Company’s lodging of the March quarter 4C as the global impact of the coronavirus has led to numerous investor enquires.

This presentation by BrainChip COO Roger Levinson includes BrainChip’s Akida™ that brings highly efficient AI processing capabilities to edge devices such as motion sensors, medical devices, automotive systems, or drones.

In this interview, BrainChip COO, Roger Levinson, shares with EDA Cafe how BrainChip is taking AI to the edge.

The Akida Development Environment running the full mobilenet V1 on Imagenet 1000 classifiers

This video demonstrates how the Akida event domain neural processor can learn and respond to new hand gestures utilizing the Samsung DVS camera as input. The entire neural processing solution consumes less than 1mW.