Quantum Generators: Design of Neural Processing Units for Stepping Protein Structures in Cell Synthesizer Units

EasyChair Preprint 11108

Abstract

Quantum Generators is a means of achieving mass food production by means of machines rather than land based farming. The process for agricultural practices for plant growth is simulated in a machine with a capacity to produce multiple seeds from one seed using computational models of multiplication. In this respect, we present a modular platform for automating cell synthesis which embodies synthesis abstraction therefore, different neural processing units is required to address cell synthesis. Firstly, the automated synthesis could make use of combination of starting materials for planning the synthesis to achieve the target molecules. Secondly, since microcontroller at each synthesizer unit act as a low-end CPUs , we deployed AI ( neural process units ) on microcontroller by pruning AI model of starting materials to transform neural networks to fit into an NPU and also an AI agent is designed to learn to optimize the final control generation from the cell synthesis requirement and we show how microcontroller on synthesizer units may be designed for capturing control generation  for executing diverse cell synthesis. For this, we designed an RL agent to add or to remove the controls to maintain a correct flow, ambient conditions and high-performance cell generation and to build through a steps for improving the synthesis performance & efficiency of cell structural patterns. For this we used fully convolutional neural network for cell synthesis and also the algorithm trained the microcontroller design agent using a matrix representation for synthesis requirement. Since we have learning models of composition as NPUs along with a learning agent for microcontroller design, we show an implementation of combining operating parameters and process controls with a small model in obscene of real-world model of CellSynputer. Although the platform model given us a method of automating cellular assemblies however, this need to be tested using natural crop cells.

Keyphrases: Artificial Intelligence, Cell Synthesizers, Neural Processing Units, Quantum Generators, microcontroller design

@booklet{EasyChair:11108,
  author    = {Poondru Prithvinath Reddy},
  title     = {Quantum Generators: Design of Neural Processing Units for Stepping Protein Structures in Cell Synthesizer Units},
  howpublished = {EasyChair Preprint 11108},
  year      = {EasyChair, 2023}}