Molecular Approach to Hopfield Neural Network

Abstract

Abstract. The present article puts forward a completely new technology development , a spin glass-like molecular implementation of the Hopfield neural structure. This novel approach uses magnetic molecules homogenously distributed in mesoporous silica matrix, which forms a base for a converting unit, an equivalent of a neuron in the Hopfield network. Converting units interact with each other via a fully controlled magnetic fields, which corresponds to weighted interconnections in the Hopfield network. This novel technology enables building fast, high-density content addressable associative memories. In particular, it is envisaged that in the future this approach can be scaled up to mimic memory with human-like characteristics. This would be a breakthrough in artificial brain implementations and usher in a new type of highly intelligent beings. Another application relates to systems designed for multi-objective optimization (multiple criteria decision making).

Synthesis of Vertically Aligned Porous Silica Thin Films Functionalized by Silver Ions

“…Another application where the precise control of the distribution of the functional units is vital can be the fabrication of layouts of magnetic units. Such systems are essential for the vision of super-dense memory storages [ 43 ] or even molecular neurons [ 44 ]. In addition, in this case, the density and distribution of functional units play an essential role in the magnetic properties of the materials [ 45 , 46 ].…”

A Low-Dimensional Layout of Magnetic Units as Nano-Systems of Combinatorial Logic: Numerical Simulations

“…Let us consider the layout of regular magnetic units. When we assume suitably small dimensions of the units, the fabrication of a super-dense memory storage, magnetic nanosensors, molecular neural networks or combinational logic nanocircuit becomes possible [ 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 ]. Importantly, the last-mentioned application seems to be promising because such systems can be used in many emerging technologies, such as encryption, encoding, or data compression.…”