6 Matching Annotations
  1. Jun 2025
    1. we have a system that um that we developed that you can go to this website and basically it will just very simply translate papers in neuroscience into developmental biology papers. It's very easy. You just swap a few words and and and everything carries over. There are deep deep symmetries between cognition and morphagenesis which um I think Alan Turing for example recognized

      for - adjacency - cognition and morphogensis - Michael Levin - tools - website - translates neuroscience papers into morphogenesis papers - Michael Levin - adjacency - Alan Turing - intelligence - embryogenesis

  2. Sep 2023
  3. Dec 2022
    1. The original question, ‘Can machines think?’ I believe to be too meaningless to deserve discussion. Nevertheless I believe that at the end of the century the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted.

      !- quotation : Alan Turing on "Can machines think?" - too meaningless to deserve discussion

  4. Aug 2022

    Tags

    Annotators

  5. Dec 2021
    1. s Alan Turing proved only years later, these machines merely need (1) a (theoretically infi nite) partitioned paper tape, (2) a writing and reading head, and (3) an exact

      procedure for the writing and reading head to move over the paper segments. This book seeks to map the three basic logical components of every computer onto the card catalog as a “ paper machine,” analyzing its data processing and interfaces that may justify the claim, “Card catalogs can do anything!”

      Purpose of the book.

      A card catalog of index cards used by a human meets all the basic criteria of a Turing machine, or abstract computer, as defined by Alan Turing.

  6. May 2021
    1. Turing was an exceptional mathematician with a peculiar and fascinating personality and yet he remains largely unknown. In fact, he might be considered the father of the von Neumann architecture computer and the pioneer of Artificial Intelligence. And all thanks to his machines; both those that Church called “Turing machines” and the a-, c-, o-, unorganized- and p-machines, which gave rise to evolutionary computations and genetic programming as well as connectionism and learning. This paper looks at all of these and at why he is such an often overlooked and misunderstood figure.