Quantum Generators: Design of Robotic Microcontroller Unit in Cell Synthesizer for Processing Protein Structures

EasyChair Preprint 10571

Abstract

Quantum Generators is a means of achieving mass food production with short production cycles and when and where required by means of machines rather than land based farming. The process for agricultural practices for plant growth in different stages is simulated in a machine with a capacity to produce multiple seeds from one seed input using computational models. In this respect, we present a modular platform for automating cell synthesis which embodies synthesis abstraction with complex protein synthesis therefore, altogether different microcontroller unit with ‘multi-features controlling’ is required to address cell synthesis. Firstly, the automated synthesis could make use of combination of starting materials for planning the synthesis routes and accordingly, neural networks are required to be trained on all possible reactions in cell synthesis for a particular crop. Secondly, an AI agent is designed to learn to optimize the final control generation from the cell synthesis requirementt. We designed an RL agent to add or to remove the controls to maintain a correct flow, ambient conditions, cell generation, etc and to build through a series of steps( adding or removing controls) for improving the synthesis performance of cell structural patterns. For this we used fully convolutional neural network the Q-learning algorithm (an RL algorithm ) and the algorithm trained the microcontroller design agent using a matrix representation for synthesis requirement. Since we have learning models of composition  along with an agent for microcontroller design, we show an implementation of combining operating parameters and process controls with a small model for autonomous protein folding/synthesis.  In this way, it is possible to script desired synthesis for diverse protein folding outcomes. Although the platform model given us a method of automating cellular assemblies however, this need to be tested using natural crop cells for quantum generation.

Keyphrases: Artificial Intelligence, Quantum Generators, Reinforcement Learning, Robotic Microcontroller, microcontroller design

@booklet{EasyChair:10571,
  author    = {Poondru Prithvinath Reddy},
  title     = {Quantum Generators: Design of Robotic Microcontroller Unit in Cell Synthesizer for Processing Protein Structures},
  howpublished = {EasyChair Preprint 10571},
  year      = {EasyChair, 2023}}