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Herausgeber: 
  • K. Martin Sagayam
  • S. Dhanasekar
  • Surbhi Vijh
  • Neuromorphic Computing Systems for Industry 4.0 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Juli 2023  
    Genre:  EDV / Informatik 
     
    Abstract learning / Biometric Authentication / Cypher Attacks / emotion recognition / hardware security / hardware Trojans / machine learning algorithms / Neural Network Protection
    ISBN:  9781668465974 
    EAN-Code: 
    9781668465974 
    Verlag:  IGI Global 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 254 mm / B 178 mm / D 22 mm 
    Gewicht:  764 gr 
    Seiten:  408 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    As artificial intelligence (AI) processing moves from the cloud to the edge of the network, battery-powered and deeply embedded devices are challenged to perform AI functions such as computer vision and voice recognition. Microchip Technology Inc., via its Silicon Storage Technology (SST) subsidiary, is addressing this challenge by significantly reducing power with its analog memory technology, the memBrain Memory Solution. The memBrain solution is being adopted by today's companies looking to advance machine learning capacities in edge devices. Due to its ability to significantly reduce power, this analog in-memory computer solution is ideal for an AI application. Neuromorphic Computing Systems for Industry 4.0 covers the available literature in the field of neural computing-based microchip technology. It provides further research opportunities in this dynamic field. Covering topics such as emotion recognition, biometric authentication, and neural network protection, this premier reference source is an essential resource for technology developers, computer scientists, engineers, students and educators of higher education, librarians, researchers, and academicians.

      



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