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Choosing the Right Technologies for Hybrid AI Chips

Brains and Machines

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Advancements in Neuromorphic Technology

This chapter explores the evolution of neuromorphic technology through the speaker's PhD journey, detailing their integration of deep learning with neuromorphic systems and collaborations with companies like BrainChip. It highlights the development of the Seneca chip, which aims to optimize hybrid AI applications while addressing the balance between research innovation and commercialization. The discussion covers innovative chip design elements, event-driven processing, and future plans for enhancing computational efficiency in comparison to traditional architectures.

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