Results 11 to 20 of about 8,453,335 (366)
Optics and Photonics News, 1990 The trade-off between the number of neurons that can be implemented with a single correlator and the shift invariance that each neuron has is investigated. A new type of correlator implemented with a planar hologram is described whose shift invariance can be controlled by setting the position of the hologram properly.
Psaltis, Demetri, Levene, Michael
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Optical network democratization [PDF]
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2016 The current Internet infrastructure is not able to support independent evolution and innovation at physical and network layer functionalities, protocols and services, while at same time supporting the increasing bandwidth demands of evolving and heterogeneous applications. This paper addresses this problem by proposing a completely democratized optical
Reza Nejabati +2 more
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An Overview on Application of Machine Learning Techniques in Optical Networks [PDF]
IEEE Communications Surveys and Tutorials, 2018 Today’s telecommunication networks have become sources of enormous amounts of widely heterogeneous data. This information can be retrieved from network traffic traces, network alarms, signal quality indicators, users’ behavioral data, etc.
F. Musumeci +6 more
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Misalignment resilient diffractive optical networks [PDF]
Nanophotonics, 2020 As an optical machine learning framework, Diffractive Deep Neural Networks (D2NN) take advantage of data-driven training methods used in deep learning to devise light–matter interaction in 3D for performing a desired statistical inference task.
Deniz Mengu +5 more
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Key Technologies of Photonic Artificial Intelligence Chip Structure and Algorithm
Applied Sciences, 2021 Artificial intelligence chips (AICs) are the intersection of integrated circuits and artificial intelligence (AI), involving structure design, algorithm analysis, chip fabrication and application scenarios.
Li Pei +7 more
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Network Programmability and Automation in Optical Networks [PDF]
, 2020 During last years, novel protocols and data models are arising to control and monitor optical network equipment. These protocols enable network programmability and automation by ful lling the vision introduced by Software De ned Networking (SDN). This paper o ers an overview and hands-on experience on programming the necessary tools to control and ...
Ricard Vilalta +3 more
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Monitoring of Fibre Optic Links With a Machine Learning-Assisted Low-Cost Polarimeter
IEEE Access, 2020 The optical fibres widely used in telecommunication can be simultaneously used for (distributed) sensing or fibre network self-monitoring. In our work, we monitor changes in the fibre environment via monitoring changes in the state of light polarization ...
Martin Slapak +3 more
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FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks [PDF]
Computer Vision and Pattern Recognition, 2016 The FlowNet demonstrated that optical flow estimation can be cast as a learning problem. However, the state of the art with regard to the quality of the flow has still been defined by traditional methods.
Eddy Ilg +5 more
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Microcomb-based integrated photonic processing unit
Nature Communications, 2023 Optical neural networks face remarkable challenges in high-level integration and on-chip operation. In this work the authors enable optical convolution utilizing time-wavelength plane stretching approach on a microcomb-driven chip-based photonic ...
Bowen Bai +13 more
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Optical Networks and Interconnects
, 2023 The rapid evolution of communication technologies such as 5G and beyond, rely on optical networks to support the challenging and ambitious requirements that include both capacity and reliability. This chapter begins by giving an overview of the evolution of optical access networks, focusing on Passive Optical Networks (PONs).
Mas-Machuca, Carmen +3 more
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