A semi-holographic hyperdimensional representation system for hardware-friendly cognitive computing

A. Serb*, I. Kobyzev, J. Wang, T. Prodromakis

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

One of the main, long-term objectives of artificial intelligence is the creation of thinking machines. To that end, substantial effort has been placed into designing cognitive systems; i.e. systems that can manipulate semantic-level information. A substantial part of that effort is oriented towards designing the mathematical machinery underlying cognition in a way that is very efficiently implementable in hardware. In this work, we propose a ‘semi-holographic’ representation system that can be implemented in hardware using only multiplexing and addition operations, thus avoiding the need for expensive multiplication. The resulting architecture can be readily constructed by recycling standard microprocessor elements and is capable of performing two key mathematical operations frequently used in cognition, superposition and binding, within a budget of below 6 pJ for 64-bit operands. Our proposed ‘cognitive processing unit’ is intended as just one (albeit crucial) part of much larger cognitive systems where artificial neural networks of all kinds and associative memories work in concord to give rise to intelligence.

Original languageEnglish
Article number20190162
JournalPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Issue number2164
Early online date23 Dec 2019
Publication statusPublished - 7 Feb 2020

Keywords / Materials (for Non-textual outputs)

  • Hardware
  • Hyperdimensional
  • Processor


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