Ariel Fernandez Queries Artificial Intelligence on the Origin of Dark Matter


   A good quote to start a conversation on dark matter (DM) is the phrase “I know that I know nothing” that Plato put in the mouth of his real or fictional teacher Socrates. Stars revolve around the center of galaxies seemingly out of control, and the accelerated expansion of the universe describes a runaway behavior at odds with the predictions of physics. As we prod the cosmos at very large scales, the basic tenets of physics crumble under the weight of contradicting evidence. A forthcoming book on DM by Ariel Fernandez is meant to help mitigate the crisis. In a previous book scheduled to appear this December, Ariel Fernandez has already resorted to artificial intelligence for answers concerning hidden dimensions in space-time and described the outcome of his quest in terms of an ur-universe that incorporates a fifth dimension to encode space-time as a “latent” manifold.

Six books by Ariel Fernandez

   DM is now believed to have arisen during the creation of elementary particles in an early universe. In contrast with our present-day “flat” universe, this early universe was endowed with extreme geometric curvature and, consequently, with special quantization rules. To begin to validate this picture, Ariel Fernandez has now leveraged the AI platform he has previously designed as autoencoder for dynamical systems. This time around, Fernandez intends to show that his platform is capable of reverse engineering the action principles that underlie the Standard Model of particle physics. The deconstruction treats Einstein’s 4D space-time as a “latent space” that gets decoded onto a higher dimensional space. The latter is endowed with an extra rolled-up dimension that spans the quark scale, which is the smallest material scale known, estimated at around 10-18m. It turns out –Fernandez explains- that this compact fifth dimension stores stationary wave-matter with a rest mass that matches the vacuum expectation value of the Higgs boson! This result enables Ariel Fernandez to estimate particle masses with significant precision by an AI-based decoding of the particle fields along the fifth dimension. The results point to the existence of an ur-Higgs boson in the early universe, specifically at the beginning of the “electroweak epoch”, whose kinetic energy is not geometrically diluted along the standard 4D dimensions. This ur-Higgs and its heavier quantum partners are identified by AI as DM. The rest of Fernandez’s forthcoming book is devoted to characterize DM vis-à-vis the geometric dilution of gravity shown to have taken place as the universe flattened and expanded to present-day levels.

Bibliography: Fernández, Ariel (2022) Topological Dynamics for Metamodel Discovery with Artificial Intelligence. Chapman & Hall /CRC, Taylor and Francis, London. First published: December 21, 2022.

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