Memory Based Machine Intelligence Techniques in VLSI hardware

Research output: Contribution to journalArticle

Abstract

We briefly introduce the memory based approaches to emulate machine intelligence in VLSI hardware, describing the challenges and advantages. Implementation of artificial intelligence techniques in VLSI hardware is a practical and difficult problem. Deep architectures, hierarchical temporal memories and memory networks are some of the contemporary approaches in this area of research. The techniques attempt to emulate low level intelligence tasks and aim at providing scalable solutions to high level intelligence problems such as sparse coding and contextual processing.
Original languageEnglish
JournalCSI Communications
Publication statusPublished - Jan 28 2012

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Computer hardware
Data storage equipment
Hardware
Artificial intelligence
Processing

Keywords

  • cs.AI
  • cs.RO

Cite this

Memory Based Machine Intelligence Techniques in VLSI hardware. / James, Alex Pappachen.

In: CSI Communications, 28.01.2012.

Research output: Contribution to journalArticle

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