BrainChip’s IP for Targeting AI Applications at the Edge
Dr. Tony Lewis, CTO of BrainChip, and scientists Dr. Rudy Rupay, Dr. Olivier Quinan, and Dr. Chris Carlson discuss the company's temporal event-based neural network (TENN) and its application in the Akida chip. They explain how TENN uses state-space methods and Legendre polynomials to achieve stable training and compact, low-power inference at the edge, outperforming models like Mamba and Transformers in specific tasks. The team highlights BrainChip's IP licensing model, their recent success in eye-tracking and speech recognition competitions, and the upcoming Akida 2.0 architecture which supports multi-bit resolution for richer algorithmic flexibility.