04472nam 2201057z- 450 991055712790332120231214133244.0(CKB)5400000000040775(oapen)https://directory.doabooks.org/handle/20.500.12854/68670(EXLCZ)99540000000004077520202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierOptics for AI and AI for OpticsBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 electronic resource (162 p.)3-03936-398-0 3-03936-399-9 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.History of engineering & technologybicssclight emitting diodenonlinearity estimation and compensationprobabilistic Bayesian learningvisible light communicationdigital signal processingsupport vector machinesBCSVMnonlinear equalizationcoherent detectionk-nearest neighbor algorithmmodulation format identificationOSNR monitoringneural networksoptical communicationsoptimizationequalizertap estimationoptical Fast-OFDMnonlinearity compensationoptical fiber communicationschromatic dispersionshort-reach communicationneural networkhybrid signal processingfiber optics communicationscoherent communicationsmachine learningclusteringnonlinearity cancellationentanglementcharge qubitposition-based semiconductor qubitscryogenic technologiessemiconductor photon communicationJaynes-Cummings-Hubbard formalismdeep neural networksvolterra equalizationnonlinear systemscoherent optical communicationpassive optical networksnonlinear compensationoptical transmissionoptical networksartificial intelligencequality of transmissionoptical performance monitoringfailure managementartificial neural networksdeep neural networkimage classificationphotonic integrated circuitssemiconductor optical amplifiersphotonic neural networkHistory of engineering & technologyWei Jinlongedt1291777Tao Lau Alan PakedtYi LilinedtGiacoumidis EliasedtCheng QixiangedtWei JinlongothTao Lau Alan PakothYi LilinothGiacoumidis EliasothCheng QixiangothBOOK9910557127903321Optics for AI and AI for Optics3021910UNINA