QGNai has developed a novel machine learning platform, RG Categorifier™ (RGC), to significantly improve the learning and decision-making of machines.
RGC learns hidden relationships in the data (e.g., image, text, bio sequence, etc.) through a hierarchical structure resulting in deeper learning than state-of-the-art.
The platform uses a proprietary recursive dimensional reduction technology to coarse-grain initial datasets to discover their underlying dominant features at all levels. The invertibility of the architecture allows fine-tuning coarse-grain data to generate new datasets based on latent variables. RGC's bidirectional generative design enables efficient classification, clustering, and explainability.