rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Hardware technologies for artificial intelligence
    sub title: AI chips, Ising machines, and in-memory computing
  name:
    name part: Kawahara, Takayuki
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2026
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (218 pages) : illustrations (black and white)
  abstract: In this comprehensive reference work for researchers, engineers, and students, Kawahara provides a one-stop exploration of next-generation computing at the LSI circuit level, with a focus on the integration of AI, advanced LSI design, Ising machines, and memory innovations.While current GPUs have high parallel processing capabilities suitable for computations on large datasets, their power consumption is approaching its limit and requires further development. Additionally, edge computing is becoming increasingly important alongside cloud computing. Amid these significant technological trends, this book provides readers with important insights into next-generation computing, namely (1) neural network (artificial intelligence) LSIs and their low power and high performance, (2) hardware design technology for combinatorial optimization problems and Ising machines, and (3) semiconductor memory and data-centric computing. Kawahara first describes the basics of LSI design and neural networks before then describing their large-scale integration, power efficiency and performance enhancements. He then also explains hardware design techniques for Ising machines, offers case studies of fully coupled Ising machine LSI. Last, he discusses the basics of semiconductor memory, near/in-memory AI computing, and then examines the future prospects. Readers will be able to apply this knowledge to the design and manufacture of such devices to overcome the limitations of current hardware and computational methods, driving future advancements in artificial intelligence and optimization.This is a valuable reference for students, engineers and researchers alike in this field. As it begins with the basics, it enables all readers to follow the direction of next-generation computing and its important technical content without the need for prior knowledge or reference to other books.
  note: Takayuki Kawahara.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer input-output equipment
  subject:
    topic: Intelligence artificielle
  subject:
    topic: Ordinateurs
    topic: Équipement d'entrée-sortie
  subject:
    topic: artificial intelligence
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer input-output equipment
  classification: Q335
  classification: 006.3
  related item:
    identifier: (OCoLC)1526501512
  identifier: 9781040681190
  identifier: 1040681190
  identifier: 9781003599067
  identifier: 1003599060
  identifier: 9781040539842
  identifier: 104053984X
  identifier: 1032985127
  identifier: 9781032985121
  identifier: 9781003599067 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: UKMGB
    record creation date: 251015
    record change date: 20260209195058.6
    record identifier: in00005684476
    language of cataloging:
      language term: eng