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

Flat Universers

Chapter of: Beyond Popular Science

The universe appears flat to within 0.4% precision according to cosmic microwave background measurements. This flatness, described by the Lambda-CDM model, indicates that space follows Euclidean geometry even across vast cosmological distances. The universe may be spatially infinite while having a finite age of 13.8 billion years. This implication comes from the Big Bang model: an expansion of intergalactic space rather than an explosion within pre-existing space. If space was already infinite at the beginning, it expanded uniformly from every point. No center to the universe!

Contributors

David H. Silver

(author)
https://orcid.org/0000-0002-3071-304X

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.