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Unlocking the Brain's Mysteries: Chris Eliasmith on Spiking Neural Networks and the Future of Human-Machine Interaction

Machine Learning Street Talk (MLST)

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Revolutionizing Chip Design Through Brain-Inspired Approaches

This chapter examines the shift in chip design from traditional architectures to parallel systems that mimic the workings of the human brain. It highlights the benefits of specialized hardware, such as LMU chips and Google's TPU, in enhancing the performance of neural networks.

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