Deep learning with coherent nanophotonic circuits
Yichen Shen,Nicholas C. Harris,Scott Skirlo,Dirk Englund,Marin Soljacic +4 more
- Vol. 11, Iss: 7, pp 441-446
TLDR
A new architecture for a fully optical neural network is demonstrated that enables a computational speed enhancement of at least two orders of magnitude and three order of magnitude in power efficiency over state-of-the-art electronics.Abstract:
Artificial Neural Networks have dramatically improved performance for many machine learning tasks. We demonstrate a new architecture for a fully optical neural network that enables a computational speed enhancement of at least two orders of magnitude and three orders of magnitude in power efficiency over state-of-the-art electronics.read more
Citations
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Journal ArticleDOI
Reconfigurable Silicon Photonic Processor Based on SCOW Resonant Structures
TL;DR: In this article, a programmable photonic processor based on two-dimensional meshes of self-coupled optical waveguide (SCOW) resonant structures is presented, which can realize various basic optical components, as well as cascaded and coupled components.
Proceedings ArticleDOI
Novel Electro-Optic Components for Integrated Photonic Neural Networks
Pascal Stark,J. Geler-Kremer,Felix Eltes,Daniele Caimi,Jean Fompeyrine,Bert Jan Offrein,Stefan Abel +6 more
TL;DR: PIC-based non-volatile optical synaptic elements are demonstrated, an essential building block in large non-von Neumann circuits realized in integrated photonics.
Journal ArticleDOI
Entangled and correlated photon mixed strategy for social decision making.
Shion Maeda,Nicolas Chauvet,Hayato Saigo,Hirokazu Hori,Guillaume Bachelier,Serge Huant,Makoto Naruse +6 more
TL;DR: In this article, a mixed strategy of entangled-and correlated-photon-based decision-making is proposed to solve the competitive multi-armed bandit problem, where multiple players try to gain higher rewards from multiple slot machines.
Proceedings ArticleDOI
Towards Functionally Robust AI Accelerators
Sanmitra Banerjee,Ching-Yuan Chen,Jonti Talukdar,Shao-Chun Hung,Arjun Chaudhuri,Mahdi Nikdast,Krishnendu Chakrabarty +6 more
TL;DR: In this paper, the authors analyzed the performance of several emerging AI accelerators in the presence of different uncertainties, and presented low-cost methods to assess the significance of faults and mitigate their effects.
Posted Content
Subthreshold signal encoding in coupled FitzHugh-Nagumo neurons
TL;DR: Through simulations of two stochastic FHN neurons, it is shown that the encoding of a sub-threshold signal in symbolic spike patterns is a plausible mechanism and could be relevant for sensory systems composed by two noisy neurons, when only one detects a weak external input.
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