Advances in AI Chips

Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. Such machines may be called AIs.

In the present book, thirteen typical literatures about AI Chips published on international authoritative journals were selected to introduce the worldwide newest progress, which contains reviews or original researches on AI Chips. We hope this book can demonstrate advances in AI Chips as well as give references to the researchers, students and other related people.

Sample Chapter(s)
Preface (239 KB)
Components of the Book:
  • Chapter 1
    Customized High Performance and Energy Efficient Communication Networks for AI Chips
  • Chapter 2
    Automating Analogue AI Chip Design with Genetic Search
  • Chapter 3
    Sanctions and opportunities: Factors affecting China’s high-tech SMEs adoption of artificial intelligence computing leasing business
  • Chapter 4
    Low-Cost Indirect Measurements for Power-Efficient In-Field Optimization of Configurable Analog Front-Ends with Self-X Properties: A Hardware Implementation
  • Chapter 5
    VLSI Architecture for 8-Point AI-based Arai DCT having Low Area-Time Complexity and Power at Improved Accuracy
  • Chapter 6
    The computer, A choreographer? Aesthetic responses to randomly-generated dance choreography by a computer
  • Chapter 7
    Unsupervised anomaly detection for posteroanterior chest X-rays using multiresolution patch-based self-supervised learning
  • Chapter 8
    Human-in-the-loop assisted de novo molecular design
  • Chapter 9
    Artificial intelligence in orthopaedics: A scoping review
  • Chapter 10
    The use of artificial intelligence to improve mycetoma management
  • Chapter 11
    American public opinion on artificial intelligence in healthcare
  • Chapter 12
    Bias in artificial intelligence algorithms and recommendations for mitigation
  • Chapter 13
    Conservatism predicts aversion to consequential Artificial Intelligence
Readership: Students, academics, teachers and other people attending or interested in AI?Chips.
Senan Alraho
Lehrstuhl Kognitive Integrierte Sensorsysteme (KISE), Fachbereich Elektrotechnik und Informationstechnik, Rheinland-Pf?lzische Technische Universit?t Kaiserslautern-Landau, 67663 Kaiserslautern, Germany

Amila Edirisuriya
Department of Electrical and Computer Engineering, University of Akron, Akron, OH 44325, USA

Kohinoor M. Darda
School of Psychology and Neuroscience, University of Glasgow, UK.

and more...
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