Copyright

David H. Silver

Published On

2026-04-08

Language

  • English

Print Length

10 pages

THEMA

  • PH
  • PHQ
  • PHR
  • PDZ

BISAC

  • SCI055000
  • SCI015000
  • SCI057000
  • SCI061000
  • SCI075000
  • SCI034000

Keywords

  • Scientific storytelling
  • Conceptual physics
  • Modern physics explained
  • Relativity and quantum mechanics
  • Mathematics in science
  • Deep science for general readers

The Centre Holds

A geometric puzzle about Gaussian probability stumped mathematicians for over 60 years: prove that convex sets that are symmetric around the origin have enhanced overlap under Gaussian measure — that P(A ∩ B) ≥ P(A) · P(B). Despite partial results for boxes, ellipsoids, and slabs, the general case resisted all attempts. In 2014, Thomas Royen, a retired pharmaceutical statistician from a small German university, solved it using textbook methods: transforming to squared variables, applying Laplace transforms, and checking matrix determinants. His proof, published in an obscure journal, went unnoticed for years.

Contributors

David H. Silver

(author)

David H. Silver is an industrial researcher whose career bridges computer vision, computational biology, and science communication. He studied mathematics, computer science, and biology at the Technion — Israel Institute of Technology as a Rothschild Scholar, and was awarded a Microsoft Research PhD Fellowship for his doctoral work in computational biology at Cambridge, UK. Silver’s peer-reviewed publications span multiple domains: computational biology in Nature and PNAS; computer vision systems in IEEE Transactions on Pattern Analysis and Machine Intelligence; medical AI in Human Reproduction and MIDL; and entertainment analysis in PLoS One. He holds over a dozen patents in depth sensing, medical imaging, and generative AI. His industry positions include Algorithm Engineer at Intel Corporation, ML Researcher at Apple, and CTO/co-founder roles at several technology startups. Silver maintains academic collaborations with researchers worldwide and serves as a peer reviewer for Image and Vision Computing and PNAS.