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Yang-Hui He

The Calabi-Yau Landscape

From Geometry, to Physics, to Machine Learning

Ebook (PDF Format)

Can artificial intelligence learn mathematics? The question is at the heart of this original monograph bringing together theoretical physics, modern geometry, and data science. The study of Calabi-Yau manifolds lies at an exciting intersection between physics and mathematics. Recently, there has been much activity in applying machine learning to solve otherwise intractable problems, to conjecture new formulae, or to understand the underlying structure of mathematics. In this book, insights from string and quantum field theory are combined with powerful techniques from complex and algebraic geometry, then translated into algorithms with the ul… Mehr

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Produktdetails


  • ISBN: 978-3-030-77562-9
  • EAN: 9783030775629
  • Produktnummer: 37111868
  • Verlag: Springer International Publishing
  • Sprache: Englisch
  • Erscheinungsjahr: 2021
  • Seitenangabe: 206 S.
  • Plattform: PDF
  • Masse: 4'972 KB
  • Auflage: 1st ed. 2021
  • Reihenbandnummer: 2293

Über den Autor


Professor Yang-Hui He is a mathematical physicist working at the interface of geometry, number theory and quantum field theory/string theory. Recently, he helped introduce machine learning into the field of pure mathematics by using AI to help uncover new patterns and raise new conjectures (cf. interview by Science [Vol 365, July, 2019] and by New Scientist [Dec 9 Issue, 2019]). He has over 150 papers and 2 books, with more than 6500 citations, h-index 45 (Google Scholar). Professor He received his BA from Princeton University (summa cum laude), MA from Cambridge (distinction, Tripos) and PhD from MIT. He is currently Fellow of the London Institute, Royal Institution, jointly tutor in mathematics at Merton College, University of Oxford, professor of mathematics at City, University of London, and chair professor of physics at Nankai University.

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