Abstract: An organism development system includes: at least one neuromorphic device including multiple sets of hardware components that each store one or parameters of neuromorphic configuration data to implement a neuron of a neural network, wherein: the neural network is configured by neuromorphic configuration data to derive a proposed genome or epigenome of a new organism meant to have a sought-for trait, and the neuromorphic configuration data is generated by training the neural network with a usage data set that includes trait data indicative of a trait and biological data indicative of a genome for each of multiple organisms; a genome or epigenome printing device to print genetic/epigenetic material of the new organism based on the proposed genome or epigenome, respectively; and a trait detection device to detect an observed trait of the new organism following its at least its generation for incorporation back into the usage data set.

Abstract: An organism development system includes: at least one neuromorphic device including multiple sets of hardware components that each store one or parameters of neuromorphic configuration data to implement a neuron of a neural network, wherein: the neural network is configured by neuromorphic configuration data to derive a proposed genome or epigenome of a new organism meant to have a sought-for trait, and the neuromorphic configuration data is generated by training the neural network with a usage data set that includes trait data indicative of a trait and biological data indicative of a genome for each of multiple organisms; a genome or epigenome printing device to print genetic/epigenetic material of the new organism based on the proposed genome or epigenome, respectively; and a trait detection device to detect an observed trait of the new organism following its at least its generation for incorporation back into the usage data set.

Abstract: A linkage mapping process incorporating an RBF non-linear classifier pattern-matching approach for use in the genetic analysis and modification of botanical organisms by comparing infrared mass spectroscopy, isomeric-level quantitative chemical analysis patterns, with single-molecule real-time genetic and genomic isoform analysis sequence patterns to build a searchable pattern library of those phenotype patterns producing commercially desirable traits for directed selection of desirable attributes and identification of their associated phenotype patterns.