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BrainChip’s IP for Targeting AI Applications at the Edge

Brains and Machines

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Leveraging Legendre Polynomials for Efficient AI Object Tracking

This chapter explores the application of Legendre polynomials to improve the efficiency of edge AI networks, focusing on time representation. It highlights the mathematical parallels to Fourier transforms and discusses their crucial role in autonomous driving applications for accurate object tracking.

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