Following the publication of Dr. Esin’s latest work, the Incarnet team completed testing of a new AI engine built on finitely generated multi-argument logic classes that exclude computationally costly majority/choice functions. The engine was deployed on a custom circuit board designed for decentralised routing control. Initial tests demonstrate a 37% improvement in decision stability under noisy input streams. This result supports our strategic goal of building ultra-resilient network modules for use in quantum-encrypted infrastructure.
Mathematics powering the next generation of intelligent networks.