Artificial and human intelligence for scientific discovery

Cripps, S

Artificial and human intelligence for scientific discovery

Cripps, S

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Publisher:: Royal Society of New South Wales
Publication Type:: Journal Article
Citation:: Journal and Proceedings - Royal Society of New South Wales, 2024, 157, pp. 109-118
Issue Date:: 2024-01-01

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Field	Value	Language
dc.contributor.author	Cripps, S https://orcid.org/0000-0003-3207-172X
dc.date.accessioned	2025-04-02T18:42:24Z
dc.date.available	2025-04-02T18:42:24Z
dc.date.issued	2024-01-01
dc.identifier.citation	Journal and Proceedings - Royal Society of New South Wales, 2024, 157, pp. 109-118
dc.identifier.issn	0035-9173
dc.identifier.issn	0035-9173
dc.identifier.uri	http://hdl.handle.net/10453/186510
dc.description.abstract	This paper will discuss how we might develop AI systems which, together with our human brain, could transform scientific discovery. In order to do this, we need a definition of AI. AI is defined to be that field or industry which is at the intersection of data, algorithms, embedded in an application for the purpose of assisting decision-making.
dc.language	en
dc.publisher	Royal Society of New South Wales
dc.relation.ispartof	Journal and Proceedings - Royal Society of New South Wales
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Artificial and human intelligence for scientific discovery
dc.type	Journal Article
utslib.citation.volume	157
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Provost
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2025-04-02T18:42:22Z
pubs.publication-status	Published
pubs.volume	157

Abstract:

This paper will discuss how we might develop AI systems which, together with our human brain, could transform scientific discovery. In order to do this, we need a definition of AI. AI is defined to be that field or industry which is at the intersection of data, algorithms, embedded in an application for the purpose of assisting decision-making.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/186510