Brain inspired high performance electronics on flexible silicon

Galo T. Sevilla, Jhonathan Prieto Rojas, Muhammad Mustafa Hussain

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Brain's stunning speed, energy efficiency and massive parallelism makes it the role model for upcoming high performance computation systems. Although human brain components are a million times slower than state of the art silicon industry components [1], they can perform 1016 operations per second while consuming less power than an electrical light bulb. In order to perform the same amount of computation with today's most advanced computers, the output of an entire power station would be needed. In that sense, to obtain brain like computation, ultra-fast devices with ultra-low power consumption will have to be integrated in extremely reduced areas, achievable only if brain folded structure is mimicked. Therefore, to allow brain-inspired computation, flexible and transparent platform will be needed to achieve foldable structures and their integration on asymmetric surfaces. In this work, we show a new method to fabricate 3D and planar FET architectures in flexible and semitransparent silicon fabric without comprising performance and maintaining cost/yield advantage offered by silicon-based electronics.
Original languageEnglish (US)
Title of host publication2014 10th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)9781479949946
DOIs
StatePublished - Jun 2014

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