The future of federal + defense tech beckons the synthesis of Brain-Computer Interfaces (BCIs) and Advanced Machine Learning, which will serve as the precursor for the next frontier of computing, Quantum-adjacent Neuromorphic Systems.

This talk unveils a proposed system in development that fuses the complexities of human thought with emerging quantum-resistant encryption techniques, transcending the traditional bounds of offensive cybersecurity for the purposes of protecting the United States from adversarial nation states.

By capturing + leveraging stochastic neural patterns as un-hackable encryption keys, we bring a deeply personalized authentication solution to the realms of Federal Government, Defense, and Militaristic. And the system's architecture isn't confined to mere encryption; it's integrated with IBM's TrueNorth neuromorphic chip and culminates in the application of an open-source, human-machine created programming language we call: Converge.

In this lightning talk, where we bridge the gap between the fictional decision-making intelligence systems Gundam Wing's ZERO (Zoning + Emotional Range Omitted) and tangible, real-world applications that capitalizes on the aggressive innovation of AI/ML, computational neuroscience and offensive cyber security.