Neuro-inspired Information Processing : Electronics Engineering - Alain Cappy

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Neuro-inspired Information Processing

By: Alain Cappy

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Hardcover | 20 January 2020 | Edition Number 1

At a Glance

Hardcover
240 Pages

Dimensions(cm)
23.88 x 16.26 x 2.03

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With the end of Moore's law and the emergence of new application needs such as those of the Internet of Things (IoT) or artificial intelligence (AI), neuro-inspired, or neuromorphic, information processing is attracting more and more attention from the scientific community. Its principle is to emulate in a simplified way the formidable machine to process information which is the brain, with neurons and artificial synapses organized in network. These networks can be software - and therefore implemented in the form of a computer program - but also hardware and produced by nanoelectronic circuits. The �material� path allows very low energy consumption, and the possibility of faithfully reproducing the shape and dynamics of the action potentials of living neurons (biomimetic approach) or even being up to a thousand times faster (high frequency approach). This path is promising and welcomed by the major manufacturers of nanoelectronics, as circuits can now today integrate several million neurons and artificial synapses.

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