Neuro-inspired Information Processing

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. La 4e de couverture indique : "Following the end of Moore's Law and the emergence of new applicational needs such as those arising from the internet of things (IoT) or from artificial intelligence (AI), neuro-inspired, or neuromorphic, information processing is attracting increasing attention from the sceintific community. The principle of neuro-inspired information processing is to emulate, in a siplified fashion, that most formidable of information processing machines, the brain, using artificial neurons and synapses organized into a network. These networks can be pieces of software, and can thus be installled in the form of a computer program, but they can also be pieces of "hardware" route enables a very low energy usage, the possibility of faithfully reproducing the shape and the dynamics of the action potential in living neurons (biomimetic approach), or even the possibility of being up to thousand times faster (high-frequency appraoch). This is very promising route, and the proposal by major nanoelectronics manufacturers of having circuits incorporating several million artificial neurons and synapses is not a pipedream." Cover -- Half-Title Page -- Dedication -- Title Page -- Copyright Page -- Contents -- Acknowledgments -- Introduction -- 1. Information Processing -- 1.1. Background -- 1.1.1. Encoding -- 1.1.2. Memorization -- 1.2. Information processing machines -- 1.2.1. The Turing machine -- 1.2.2. von Neumann architecture -- 1.2.3. CMOS technology -- 1.2.4. Evolution in microprocessor performance -- 1.3. Information and energy -- 1.3.1. Power and energy dissipated in CMOS gates and circuits -- 1.4. Technologies of the future -- 1.4.1. Evolution of the "binary coding/von Neumann/CMOS" system