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

Renormalize All the Things

Physics’ two most successful theories cannot coexist. Quantum field theory treats forces as particle exchanges on a fixed stage, while general relativity says the stage warps. When combined, they produce catastrophic contradictions: QFT predicts vacuum energy 10¹²⁰ times larger than observed, gravity refuses renormalization, and black holes seem to destroy quantum information. Each theory works perfectly in its domain, yet they give mutually exclusive descriptions of reality. This incompatibility of theories is the most glaring problem in modern physics.

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.