https://pages.htgaa.org/2026a/srinidhi-vasan/homework/week-7-genetic-circuits-part-ii/index.htmlIntracellular Artificial Neural Networks (IANNs) What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions? IANNs outperform traditional Boolean circuits by using sophisticated, brain-like processing, with significant molecular noise reduction. Their pros include analog integration, noise filtering, pattern recognition and efficiency. By processing continuous chemical gradients compared to “on/off” signals, thus allowing cells to respond to the exact intensity of a stimulus. By integrating multiple signals, they are more robust against the random molecular fluctuations (noise) seen of the cytoplasm. IANNs can identify complex biomarker signatures, without needing a high number of logic gates. They can achieve higher computational power with fewer genetic parts, reducing the metabolic burden on the host. Describe a useful application for an IANN; include a detailed description of input/output behavior, as well as any limitations an IANN might face to achieve your goal.Hugoen