LEADER 04022nam 22006135 450 001 9910392721503321 005 20200704040811.0 010 $a3-319-91053-1 024 7 $a10.1007/978-3-319-91053-6 035 $a(CKB)4100000004243982 035 $a(DE-He213)978-3-319-91053-6 035 $a(MiAaPQ)EBC5398382 035 $a(PPN)227399382 035 $a(EXLCZ)994100000004243982 100 $a20180518d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplication of FPGA to Real?Time Machine Learning $eHardware Reservoir Computers and Software Image Processing /$fby Piotr Antonik 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XXII, 171 p. 68 illus., 8 illus. in color.) 225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 311 $a3-319-91052-3 320 $aIncludes bibliographical references. 327 $aIntroduction -- Online Training of a Photonic Reservoir Computer -- Backpropagation with Photonics -- Photonic Reservoir Computer with Output Feedback -- Towards Online-Trained Analogue Readout Layer -- Real-Time Automated Tissue Characterisation for Intravascular OCT Scans -- Conclusion and Perspectives. 330 $aThis book lies at the interface of machine learning ? a subfield of computer science that develops algorithms for challenging tasks such as shape or image recognition, where traditional algorithms fail ? and photonics ? the physical science of light, which underlies many of the optical communications technologies used in our information society. It provides a thorough introduction to reservoir computing and field-programmable gate arrays (FPGAs). Recently, photonic implementations of reservoir computing (a machine learning algorithm based on artificial neural networks) have made a breakthrough in optical computing possible. In this book, the author pushes the performance of these systems significantly beyond what was achieved before. By interfacing a photonic reservoir computer with a high-speed electronic device (an FPGA), the author successfully interacts with the reservoir computer in real time, allowing him to considerably expand its capabilities and range of possible applications. Furthermore, the author draws on his expertise in machine learning and FPGA programming to make progress on a very different problem, namely the real-time image analysis of optical coherence tomography for atherosclerotic arteries. 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 606 $aLasers 606 $aPhotonics 606 $aOptical data processing 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aOptics, Lasers, Photonics, Optical Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/P31030 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aLasers. 615 0$aPhotonics. 615 0$aOptical data processing. 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aOptics, Lasers, Photonics, Optical Devices. 615 24$aImage Processing and Computer Vision. 615 24$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a621.36 700 $aAntonik$b Piotr$4aut$4http://id.loc.gov/vocabulary/relators/aut$0833854 906 $aBOOK 912 $a9910392721503321 996 $aApplication of FPGA to Real?Time Machine Learning$92518841 997 $aUNINA LEADER 02640nam 2200625 a 450 001 9910961595103321 005 20251117115101.0 010 $a1-134-96162-6 010 $a1-134-96163-4 010 $a1-280-33039-2 010 $a0-203-06662-6 024 7 $a10.4324/9780203066621 035 $a(CKB)111087027071770 035 $a(EBL)168205 035 $a(OCoLC)264512766 035 $a(SSID)ssj0000261704 035 $a(PQKBManifestationID)11205081 035 $a(PQKBTitleCode)TC0000261704 035 $a(PQKBWorkID)10256935 035 $a(PQKB)10809642 035 $aebr2004099 035 $a(MiAaPQ)EBC168205 035 $a(Au-PeEL)EBL168205 035 $a(CaPaEBR)ebr10070708 035 $a(CaONFJC)MIL33039 035 $a(OCoLC)52487398 035 $a(EXLCZ)99111087027071770 100 $a20050811e20031994 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aTransnationals and governments $erecent policies in Japan, France, Germany, the United States, and Britain /$fDavid Bailey, George Harte, and Roger Sugden 205 $a1st ed. 210 $aLondon ;$aNew York $cRoutledge$d2003 215 $a1 online resource (244 p.) 300 $aDescription based upon print version of record. 311 08$a0-415-09825-4 320 $aIncludes bibliographical references and index. 327 $aBook Cover; Title; Contents; List of figures, tables and matrices; Acknowledgements; INTRODUCTION: A SPECTRUM OF POLICY APPROACHES; JAPAN; FRANCE; GERMANY; UNITED STATES; BRITAIN; ISSUES OF CONCERN; Index 330 $aThe potential ease with which transnational corporations can relocate their activities gives them great leverage over individual governments. The authors outline the various policies that the world's major economies have adopted to cope with the unique issues created by transnationals. They reveal that there has been a marked contrast in the level of concern about transnationals' activities across the countries studied, and that this has resulted in significantly different approaches towards transnationals. 606 $aInternational business enterprises$xGovernment policy$vCase studies 615 0$aInternational business enterprises$xGovernment policy 676 $a338.8/8 700 $aBailey$b David$f1966-$01874341 701 $aHarte$b George$f1954-$0116183 701 $aSugden$b Roger$0116184 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910961595103321 996 $aTransnationals and governments$94487738 997 $aUNINA