QAI Digital Physics Overview
he Standard Model of particle physics is the theory describing the known fundamental forces. QAI Cognitive Reactor is a machine learning digital physics system built on the premise that the standard model is synonymous with information and by extension computation. The patent pending system implements human intuition and emotion without rules, continuously learns and is unbiased. The system was validated during life science drug discovery where it resulted in the first “smart molecule,” i.e. one making decisions about its biological activity. The molecule showed good activity, was patented, and is now the property of Genentech. QAI is currently applied to application where an unknown person’s recorded voice is used to draw their previously unknown face.
The Standard Model of particle physics is the theory describing the known fundamental forces. QAI Cognitive Reactor is a machine learning digital physics system based on the premise that the standard model is synonymous with information and by extension computation. QAI implements standard model quantum interactions using a five dimensional continuous computational space. QAI represents information as information molecular structures and their structural analogs. These structures form automatically when information is injected into the reactor volume. The reactor distance metric is in fermis (femtometers), which is equal to 10-15 meters. The volume of the reactor containment sphere is one meter and the usable computational microscopic spacetime volume is about 4,190,000,000,000,000.5 fermis, i.e. 4+ quadrillion fermions.
QAI Digital Physics information particles come in two forms, information matter constituents and information force carriers, which drive the information matter constituent interactions. The QAI information matter constituents (iFermions) are so called as they obey fermi-dirac statistics and have asymmetric wave functions. Conversely, the QAI information force carrier particles (iBosons) are massless and obey bose-ein- stein statistics and have symmetric wave functions, which unlike the iFermions can assume quantum state configurations that are quantum mechanically continuous in the QAI microscopic spacetime computational reactor. iFermions are on the scale of fermis and they have mass, which affects their movement and information molecule structural dynamics and configurations. QAI represents information within its computational volume as quantum entangled information particles, information molecules and their structural analogs. ML within QAI is the auto- matic process of emergent formation of information molecules (iMolecule). These iMolecules are unique with respect to their structurally en- coded information. Structural iMolecule analogs are the basis for ML generalization.