02226nam0 22004693i 450 VAN0020816220240806101220.831N978331991053620210824d2018 |0itac50 baengCH|||| |||||Application of FPGA to Real‐Time Machine LearningHardware Reservoir Computers and Software Image ProcessingDoctoral Thesis accepted by the Université libre de Bruxelles, Brussels, BelgiumPiotr AntonikChamSpringer2018xxii, 171 p.ill.24 cm001VAN001041932001 Springer thesesrecognizing outstanding Ph.D. research210 BerlinSpringer2010-VAN00208163Application of FPGA to Real‐Time Machine Learning251884168TxxArtificial intelligence [MSC 2020]VANC021266MF78A60Lasers, masers, optical bistability, nonlinear optics [MSC 2020]VANC029030MF81V80Quantum optics [MSC 2020]VANC023592MFArtificial IntelligenceKW:KBiomedical ImagingKW:KField Programmable Gate ArrayKW:KHardware Artificial Neural NetworksKW:KOnline LearningKW:KOpto-electronicsKW:KPhotonic Reservoir ComputingKW:KPhotonicsKW:KPrediction of Chaotic Time SeriesKW:KReservoir computingKW:KTelecommunicationsKW:KCHChamVANL001889AntonikPiotrVANV180100833854Springer <editore>VANV108073650ITSOL20240906RICAhttp://doi.org/10.1007/978-3-319-91053-6E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00208162BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-book 3452 08eMF3452 20210824 Application of FPGA to Real‐Time Machine Learning2518841UNICAMPANIA