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Rhythms and oscillations : a vision for nanoelectronics

Abstract : With the advent of "artificial intelligence", computers, mobile devices and other connected objects are being pushed beyond the realm of arithmetic and logic operations, for which they have been optimized over decades, in order to process "cognitive" tasks such as automatic translation and image or voice recognition, for which they are not the ideal substrate. As a result, supercomputers may require megawatts to process tasks for which the human brain only needs 20 watt. This has revived interest into the design of alternative computing schemes inspired by the brain. In particular, neural oscillations that appear to be linked to computational activity in the brain have inspired approaches leveraging the complex physics of networks of coupled oscillators in order to process cognitive tasks efficiently. In the light of recent advances in nano-technology allowing the fabrication of highly integrable nano-oscillators, this thesis proposes and studies novel neuro-inspired oscillator-based pattern classification architectures that could be implemented on chip.
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Submitted on : Monday, January 29, 2018 - 4:46:08 PM
Last modification on : Wednesday, October 14, 2020 - 4:10:35 AM
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  • HAL Id : tel-01695747, version 1



Damir Vodenicarevic. Rhythms and oscillations : a vision for nanoelectronics. Micro and nanotechnologies/Microelectronics. Université Paris Saclay (COmUE), 2017. English. ⟨NNT : 2017SACLS518⟩. ⟨tel-01695747⟩



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