Optics for AI and AI for Optics
Artificial intelligence is deeply involved in our daily lives via reinforcing the digital transformation of modern economies and infrastructure. It relies on powerful computing clusters, which face bottlenecks of power consumption for both data transmission and intensive computing. Meanwhile, optics...
Đã lưu trong:
| Định dạng: | Online |
|---|---|
| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
|
| Những chủ đề: | |
| Truy cập trực tuyến: | ONIX_20210501_9783039363988_416 |
| Các nhãn: |
Không có thẻ, Là người đầu tiên thẻ bản ghi này!
|
| _version_ | 1869522063575744512 |
|---|---|
| collection | Directory of Open Access Books |
| description | Artificial intelligence is deeply involved in our daily lives via reinforcing the digital transformation of modern economies and infrastructure. It relies on powerful computing clusters, which face bottlenecks of power consumption for both data transmission and intensive computing. Meanwhile, optics (especially optical communications, which underpin today’s telecommunications) is penetrating short-reach connections down to the chip level, thus meeting with AI technology and creating numerous opportunities. This book is about the marriage of optics and AI and how each part can benefit from the other. Optics facilitates on-chip neural networks based on fast optical computing and energy-efficient interconnects and communications. On the other hand, AI enables efficient tools to address the challenges of today’s optical communication networks, which behave in an increasingly complex manner. The book collects contributions from pioneering researchers from both academy and industry to discuss the challenges and solutions in each of the respective fields. |
| format | Online |
| id | doab-20.500.12854ir-68670 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-686702024-04-11T15:10:18Z Optics for AI and AI for Optics Wei, Jinlong Tao Lau, Alan Pak Yi, Lilin Giacoumidis, Elias Cheng, Qixiang light emitting diode nonlinearity estimation and compensation probabilistic Bayesian learning visible light communication digital signal processing support vector machines BCSVM nonlinear equalization coherent detection k-nearest neighbor algorithm modulation format identification OSNR monitoring neural networks optical communications optimization equalizer tap estimation optical Fast-OFDM nonlinearity compensation optical fiber communications chromatic dispersion short-reach communication neural network hybrid signal processing fiber optics communications coherent communications machine learning clustering nonlinearity cancellation entanglement charge qubit position-based semiconductor qubits cryogenic technologies semiconductor photon communication Jaynes–Cummings–Hubbard formalism deep neural networks volterra equalization nonlinear systems coherent optical communication passive optical networks nonlinear compensation optical transmission optical networks artificial intelligence quality of transmission optical performance monitoring failure management artificial neural networks deep neural network image classification photonic integrated circuits semiconductor optical amplifiers photonic neural network n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Artificial intelligence is deeply involved in our daily lives via reinforcing the digital transformation of modern economies and infrastructure. It relies on powerful computing clusters, which face bottlenecks of power consumption for both data transmission and intensive computing. Meanwhile, optics (especially optical communications, which underpin today’s telecommunications) is penetrating short-reach connections down to the chip level, thus meeting with AI technology and creating numerous opportunities. This book is about the marriage of optics and AI and how each part can benefit from the other. Optics facilitates on-chip neural networks based on fast optical computing and energy-efficient interconnects and communications. On the other hand, AI enables efficient tools to address the challenges of today’s optical communication networks, which behave in an increasingly complex manner. The book collects contributions from pioneering researchers from both academy and industry to discuss the challenges and solutions in each of the respective fields. 2021-05-01T15:26:30Z 2021-05-01T15:26:30Z 2020 book ONIX_20210501_9783039363988_416 9783039363988 9783039363995 https://directory.doabooks.org/handle/20.500.12854/68670 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/2433 https://mdpi.com/books/pdfview/book/2433 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03936-399-5 10.3390/books978-3-03936-399-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039363988 9783039363995 162 Basel, Switzerland open access |
| spellingShingle | light emitting diode nonlinearity estimation and compensation probabilistic Bayesian learning visible light communication digital signal processing support vector machines BCSVM nonlinear equalization coherent detection k-nearest neighbor algorithm modulation format identification OSNR monitoring neural networks optical communications optimization equalizer tap estimation optical Fast-OFDM nonlinearity compensation optical fiber communications chromatic dispersion short-reach communication neural network hybrid signal processing fiber optics communications coherent communications machine learning clustering nonlinearity cancellation entanglement charge qubit position-based semiconductor qubits cryogenic technologies semiconductor photon communication Jaynes–Cummings–Hubbard formalism deep neural networks volterra equalization nonlinear systems coherent optical communication passive optical networks nonlinear compensation optical transmission optical networks artificial intelligence quality of transmission optical performance monitoring failure management artificial neural networks deep neural network image classification photonic integrated circuits semiconductor optical amplifiers photonic neural network n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Optics for AI and AI for Optics |
| title | Optics for AI and AI for Optics |
| title_full | Optics for AI and AI for Optics |
| title_fullStr | Optics for AI and AI for Optics |
| title_full_unstemmed | Optics for AI and AI for Optics |
| title_short | Optics for AI and AI for Optics |
| title_sort | optics for ai and ai for optics |
| topic | light emitting diode nonlinearity estimation and compensation probabilistic Bayesian learning visible light communication digital signal processing support vector machines BCSVM nonlinear equalization coherent detection k-nearest neighbor algorithm modulation format identification OSNR monitoring neural networks optical communications optimization equalizer tap estimation optical Fast-OFDM nonlinearity compensation optical fiber communications chromatic dispersion short-reach communication neural network hybrid signal processing fiber optics communications coherent communications machine learning clustering nonlinearity cancellation entanglement charge qubit position-based semiconductor qubits cryogenic technologies semiconductor photon communication Jaynes–Cummings–Hubbard formalism deep neural networks volterra equalization nonlinear systems coherent optical communication passive optical networks nonlinear compensation optical transmission optical networks artificial intelligence quality of transmission optical performance monitoring failure management artificial neural networks deep neural network image classification photonic integrated circuits semiconductor optical amplifiers photonic neural network n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | light emitting diode nonlinearity estimation and compensation probabilistic Bayesian learning visible light communication digital signal processing support vector machines BCSVM nonlinear equalization coherent detection k-nearest neighbor algorithm modulation format identification OSNR monitoring neural networks optical communications optimization equalizer tap estimation optical Fast-OFDM nonlinearity compensation optical fiber communications chromatic dispersion short-reach communication neural network hybrid signal processing fiber optics communications coherent communications machine learning clustering nonlinearity cancellation entanglement charge qubit position-based semiconductor qubits cryogenic technologies semiconductor photon communication Jaynes–Cummings–Hubbard formalism deep neural networks volterra equalization nonlinear systems coherent optical communication passive optical networks nonlinear compensation optical transmission optical networks artificial intelligence quality of transmission optical performance monitoring failure management artificial neural networks deep neural network image classification photonic integrated circuits semiconductor optical amplifiers photonic neural network n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20210501_9783039363988_416 |