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

A semi-holographic hyperdimensional representation system for hardware-friendly cognitive computing
A semi-holographic hyperdimensional representation system for hardware-friendly cognitive computing
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 recycling standard microprocessor elements and [Statement about hardware performance]. Our proposed ‘cognitive processing unit’ (CoPU) 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.
hyperdimensional computing
Serb, Alexantrou
30f5ec26-f51d-42b3-85fd-0325a27a792c
Kobyzev, Ivan
63a6a10f-8763-41d1-aa6e-a371d8d9047a
Wang, Jiaqi
8b0d7a69-fc27-4344-ab3d-9f05fba98145
Prodromakis, Themis
d58c9c10-9d25-4d22-b155-06c8437acfbf
Serb, Alexantrou
30f5ec26-f51d-42b3-85fd-0325a27a792c
Kobyzev, Ivan
63a6a10f-8763-41d1-aa6e-a371d8d9047a
Wang, Jiaqi
8b0d7a69-fc27-4344-ab3d-9f05fba98145
Prodromakis, Themis
d58c9c10-9d25-4d22-b155-06c8437acfbf

Serb, Alexantrou, Kobyzev, Ivan, Wang, Jiaqi and Prodromakis, Themis (2019) A semi-holographic hyperdimensional representation system for hardware-friendly cognitive computing. 8 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

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 recycling standard microprocessor elements and [Statement about hardware performance]. Our proposed ‘cognitive processing unit’ (CoPU) 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.

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More information

In preparation date: 11 January 2019
Accepted/In Press date: 5 August 2019
e-pub ahead of print date: 23 December 2019
Keywords: hyperdimensional computing

Identifiers

Local EPrints ID: 427468
URI: https://eprints.soton.ac.uk/id/eprint/427468
PURE UUID: 1862900c-57de-480b-8988-a0fc2119b410
ORCID for Themis Prodromakis: ORCID iD orcid.org/0000-0002-6267-6909

Catalogue record

Date deposited: 17 Jan 2019 17:30
Last modified: 20 Nov 2019 01:32

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Contributors

Author: Alexantrou Serb
Author: Ivan Kobyzev
Author: Jiaqi Wang

University divisions

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