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

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

• Anirban Bandyopadhyay
• Pathik Sahoo
• et al.

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.