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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.
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.
Compound Semiconductor Device Modelling
Compound semiconductor devices form the foundation of solid-state microwave and optoelectronic technologies used in many modern communication systems. In common with their low frequency counterparts, these devices are often represented using equivalent circuit models, but it is often necessary to resort to physical models in order to gain insight into the detailed operation of compound semiconductor devices. Many of the earliest physical models were indeed developed to understand the 'unusual' phenomena which occur at high frequencies. Such was the case with the Gunn and IMPATI diodes, which led to an increased interest in using numerical simulation methods. Contemporary devices often have f...
Physica B + C.
None
Unsolved Problems of Noise and Fluctuations
Annotation The scope of the July 1999 conference covers Brownian ratchets, stochastic resonance, biomedicine, semiconductors, electronic devices, lasers, turbulence, and spectroscopy. Among the topics of the 66 papers are quantum stress tensor fluctuations, signatures of electron-electron interaction in nanoelectric device shot noise, the scale invariance of 1/f noise, Parrondo's paradoxical games, and what physicists can contribute to economics. Other topics include additive noise and noise-induced nonequilibrium phase transitions, entropy generation in computation and the second law of thermodynamics, high frequency noise modeling in MOSFETs, a percolative approach to resistance fluctuations, short time-scales in the Kramers problem, activated escape of driven systems, and numerical methods for systems excited by white noise. No subject index. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Semiconductor Device Modelling
Semiconductor device modelling has developed in recent years from being solely the domain of device physicists to span broader technological disciplines involved in device and electronic circuit design and develop ment. The rapid emergence of very high speed, high density integrated circuit technology and the drive towards high speed communications has meant that extremely small-scale device structures are used in contempor ary designs. The characterisation and analysis of these devices can no longer be satisfied by electrical measurements alone. Traditional equivalent circuit models and closed-form analytical models cannot always provide consis tently accurate results for all modes of opera...
Noise in Semiconductor Devices
Provides an overview of the physical basis of noise in semiconductor devices, and a detailed treatment of numerical noise simulation in small-signal conditions. It presents innovative developments in the noise simulation of semiconductor devices operating in large-signal quasi-periodic conditions.
