We have invented and patented an innovative real-time inference accelerator chip for Predictive AI that solves previously unapproachable problems by applying advanced algorithms to fast-evolving big-data prediction challenges at massive scale. Remarkably, our chip, although packaged as an ASIC, can self-learn, self-optimize, and self-correct hardware or model errors through our patented dynamic computational techniques, communicating as needed with local or remote (cloud-based) servers to upload or download AI-driven model improvements and/or respond to data input drift and distribution changes, doing in situ retraining as necessary. As a result of its patented design that decreases complexity through reduced wire and transistor counts, our chips have the distinct advantage of providing significant reductions in size, weight, power consumption, and cost (what the defense industry calls SWaP-C2). Based on our preliminary indications of the chip’s superior performance and characteristics, we have identified a number of industries and specific applications to initially target, including finance (quant/algo trading), defense (cognitive multi-sensor platforms) and healthcare (real-time patient monitoring, in-hospital and remote). For more information on DD-AIM, please visit the website below.