Neurosymbolic AI as an antithesis to scaling laws
Neurosymbolic AI as an antithesis to scaling laws
About this item
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Author / Creator
Publisher
England: Oxford University Press
Journal title
Language
English
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Publication information
Publisher
England: Oxford University Press
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Scope and Contents
Contents
The recent progress in machine learning has shifted the trends in artificial intelligence (AI) toward an overreliance on increasing amounts of data, computing power, and model parameters. These trends have resulted in success, but have also created a monolithic perspective for AI, increased the barriers to entry outside of large tech companies, and...
Alternative Titles
Full title
Neurosymbolic AI as an antithesis to scaling laws
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_12084822
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_12084822
Other Identifiers
ISSN
2752-6542
E-ISSN
2752-6542
DOI
10.1093/pnasnexus/pgaf117
