• for: AI, Anirban Bandyopadhyay, brain gel, AI - gel computer

• title: A general-purpose organic gel computer that learns by itself

• author
  • Anirban Bandyopadhyay
  • Pathik Sahoo
  • et al.
• date: Dec. 6, 2023
• publication: IOPScience

• DOI: 10.1088/2634-4386/ad0fec

• ABSTRACT

  • To build energy minimized superstructures, self-assembling molecules explore astronomical options, colliding ∼10 to 9th power molecules s to power−1. -Thusfar, no computer has used it fully to optimize choices and execute advanced computational theories only by synthesizing supramolecules.
  • To realize it,
    • first, we remotely re-wrote the problem in a language that supramolecular synthesis comprehends.
    • Then, all-chemical neural network synthesizes one helical nanowire for one periodic event. These nanowires self-assemble into gel fibers mapping intricate relations between periodic events in any-data-type,
    • the output is read instantly from optical hologram.
    • Problem-wise, self-assembling layers or neural network depth is optimized to chemically simulate theories discovering invariants for learning.
    • Subsequently, synthesis alone solves classification, feature learning problems instantly with single shot training.
    • Reusable gel begins general-purpose computing that would chemically invent suitable models for problem-specific unsupervised learning. Irrespective of complexity,
      • keeping fixed computing time and power, gel promises a toxic-hardware-free world.

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