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Wet TinyML: Chemical Neural Network Using Gene Regulation and Cell Plasticity
This study advances this concept by incorporating cell plasticity, to further exploit natural cell's adaptability, in order to diversify the GRNN search that can match larger spectrum as well as dynamic computing tasks.
Stability Analysis of Non-Linear Classifiers using Gene Regulatory Neural Network for Biological AI
The Gene Regulatory Network (GRN) of biological cells governs a number of key functionalities that enables them to adapt and survive through different environmental conditions.
Inferring Gene Regulatory Neural Networks for Bacterial Decision Making in Biofilms
These incoming external signals are then processed using a Gene Regulatory Network (GRN), exhibiting similarities to modern computing algorithms.
Realizing Molecular Machine Learning through Communications for Biological AI: Future Directions and Challenges
Artificial Intelligence (AI) and Machine Learning (ML) are weaving their way into the fabric of society, where they are playing a crucial role in numerous facets of our lives.
A Graph-based Molecular Communications Model Analysis of the Human Gut Bacteriome
Furthermore, we develop an in-silico simulation model (virtual GB), allowing us to study the impact of the metabolite exchange through molecular communications in the human gut bacteriome network system.
