THE GREAT DISRUPTION.
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| Title: | THE GREAT DISRUPTION. |
|---|---|
| Authors: | ORNES, STEPHEN (AUTHOR) |
| Source: | Science News. May2026, Vol. 208 Issue 5, p60-67. 8p. 1 Color Photograph, 3 Black and White Photographs, 1 Cartoon or Caricature. |
| Subjects: | Artificial intelligence, Mathematical proofs, Imperial College, London, Mathematicians, Intuition |
| Abstract: | The article focuses on how formalization, enhanced by artificial intelligence (AI), is transforming mathematical proof verification and research. Mathematician Kevin Buzzard of Imperial College London is leading efforts to formalize Fermat’s last theorem using the Lean interactive theorem prover, aiming to build a comprehensive digital library of mathematics that computers can assist with. AI-driven autoformalization, which combines large language models with theorem provers, promises to accelerate proof verification and discovery but raises debates about the future role of human mathematicians and the nature of mathematical creativity. While some see AI as a tool to offload tedious verification and highlight human insight, others express concern that overreliance on AI could undermine mathematical intuition, education, and the profession’s status. [Extracted from the article] |
| Copyright of Science News is the property of Society for Science & the Public and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 192715595 AccessLevel: 6 PubType: Periodical PubTypeId: serialPeriodical PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: THE GREAT DISRUPTION. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22ORNES%2C+STEPHEN%22">ORNES, STEPHEN</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Science+News%22">Science News</searchLink>. May2026, Vol. 208 Issue 5, p60-67. 8p. 1 Color Photograph, 3 Black and White Photographs, 1 Cartoon or Caricature. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+proofs%22">Mathematical proofs</searchLink><br /><searchLink fieldCode="DE" term="%22Imperial+College%2C+London%22">Imperial College, London</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematicians%22">Mathematicians</searchLink><br /><searchLink fieldCode="DE" term="%22Intuition%22">Intuition</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The article focuses on how formalization, enhanced by artificial intelligence (AI), is transforming mathematical proof verification and research. Mathematician Kevin Buzzard of Imperial College London is leading efforts to formalize Fermat’s last theorem using the Lean interactive theorem prover, aiming to build a comprehensive digital library of mathematics that computers can assist with. AI-driven autoformalization, which combines large language models with theorem provers, promises to accelerate proof verification and discovery but raises debates about the future role of human mathematicians and the nature of mathematical creativity. While some see AI as a tool to offload tedious verification and highlight human insight, others express concern that overreliance on AI could undermine mathematical intuition, education, and the profession’s status. [Extracted from the article] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Science News is the property of Society for Science & the Public and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=192715595 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 60 Subjects: – SubjectFull: Artificial intelligence Type: general – SubjectFull: Mathematical proofs Type: general – SubjectFull: Imperial College, London Type: general – SubjectFull: Mathematicians Type: general – SubjectFull: Intuition Type: general Titles: – TitleFull: THE GREAT DISRUPTION. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: ORNES, STEPHEN IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00368423 Numbering: – Type: volume Value: 208 – Type: issue Value: 5 Titles: – TitleFull: Science News Type: main |
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