02647nam a22004575i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050000900153072001600162072002300178072001500201100008000216245008400296250001800380264007200398300006600470336002600536337002600562338003600588347002400624490006100648505022500709520081500934650003201749650002901781650001501810650002501825650003201850650002901882650003901911710003401950773002601984776003602010776003602046830006102082856004602143978-981-97-1291-5DE-He21320251030111747.0cr nn 008mamaa240326s2024 si | s |||| 0|eng d a97898197129157 a10.1007/978-981-97-1291-52doi 4aQ342 7aUYQ2bicssc 7aCOM0040002bisacsh 7aUYQ2thema1 aRaikov, Aleksandr.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aPhotonic Artificial Intelligenceh[electronic resource] /cby Aleksandr Raikov. a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024. aXVII, 110 p. 14 illus., 12 illus. in color.bonline resource. atextbtxt2rdacontent acomputerbc2rdamedia aonline resourcebcr2rdacarrier atext filebPDF2rda1 aSpringerBriefs in Computational Intelligence,x2625-37120 aIntroduction -- Impulse Brain? -- Artificial Mind -- Photonic Psychology -- Emotion Recognition -- Photonic Thought -- Soliton’s Semantics -- Subatomic Semantics -- Dark Mind -- Material Synthesis -- Photonic Learning. aThis book addresses an attempt to create Photonic Artificial Intelligence (PAI) system based on optical technologies, which process signals continuously. PAI could help to overcome digital computer limits and almost zero out the machine learning time and AI inference. It helps to consider feelings, the chaos of thoughts, cognitive activity, and the transcendental states of the human mind in AI systems. The book also discusses new problems such as synthesizing new photonic materials, creating optical control systems, and connecting PAI systems with outside digital computers and holographic memory. The book is aimed at a wide range of readers, including postgraduates and researchers, interested in advanced AI by creating its new paradigm, which can help to overcome traps of traditional AI development. 0aComputational intelligence. 0aArtificial intelligence. 0aPhotonics. 0aOptical engineering.14aComputational Intelligence.24aArtificial Intelligence.24aPhotonics and Optical Engineering.2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981971290808iPrinted edition:z9789819712922 0aSpringerBriefs in Computational Intelligence,x2625-371240uhttps://doi.org/10.1007/978-981-97-1291-5