Neuro-inspired Information Processing - Alain Cappy

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creating these networks, using software or hardware, are presented, together with their respective performance. A state of the art is also given for each approach. In this chapter, we show the benefits of hardware in the design and creation of networks of artificial neural and synaptic networks with ultra-low power and energy consumption, and examples of artificial neural networks ranging from the very simple to the highly complex are described.

      1 1 Memory that can be both written to and read from.

      2 2 Read-only memory.

      3 3 Zetta = 1021 and one byte is made up of 8 bits.

      4 4 Gordon Moore co-founded Intel in 1968.

      5 5 Represented by the number of logic gates per circuit.

      6 6 Also referred to as “bio-inspired”.

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