Abstract
A brain-inspired computer made with optoelectronic parts runs faster thanks to a hardware redesign, recognizing simple speech at the rate of 1 million words per second
Highlights
Nowadays, digital computers based on the so-called Turing–von Neumann architectures are ubiquitous and deeply integrated in our daily lives
Originally referred to as an echo state network or a liquid state machine, is a braininspired paradigm for processing temporal information. It involves learning a “read-out” interpretation for nonlinear transients developed by high-dimensional dynamics when the latter is excited by the information signal to be processed
We report on a novel implementation involving an electro-optic phase-delay dynamics designed with off-the-shelf optoelectronic telecom devices, providing the targeted wide bandwidth
Summary
Digital computers based on the so-called Turing–von Neumann architectures are ubiquitous and deeply integrated in our daily lives. They provide many fast and efficient calculation tasks, from complex scientific computing through networking and communications systems, to smart phone device functionality and service. The demand for greater computational power is naturally always increasing, and as this demand develops, more and more problems are identified as too complex and/or too time consuming, even for the most advanced highly paralleled digital computer farms. Alternative computational paradigms have already been explored for a long time, one obvious direction naturally being suggested by the human brain. Most of the research dedicated to the brain-inspired computational paradigm has been performed essentially through computer simulations, i.e., through the use of the standard digital Turing–Von Neumann computers that they are aimed to replace.
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