We are proud to announce that our team is pushing the boundaries of cybernetics and AI. A new scientific paper by Alexander Vityaz (Oleksandr Vityaz), titled On the Necessity of Noise Suppression for Minimal Good Regulators: Factorization Theorems and a Closure Conjecture has been published on ResearchGate.

In simple terms, the research mathematically proves a fundamental truth: no management system—be it an IT architecture or a business process—can be truly effective if it cannot suppress "informational noise." In an era of data overload, this work establishes the critical necessity of filtering out the irrelevant to ensure precise decision-making. We are honored to see our theoretical frameworks grounded in fundamental science, helping us build smarter and more resilient digital products.

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Publication details:

Title: On the Necessity of Noise Suppression for Minimal Good Regulators: Factorization Theorems and a Closure Conjecture

Author: Oleksandr Vityaz · corezoid.com, Dnipro, Ukraine · January 2026

Link: On the Necessity of Noise Suppression for Minimal Good Regulators