Abstract: Computer processing techniques are described for augmenting computed tomography (CT) images with synthetic artifacts for artificial intelligence (AI) applications. According to an example, a computer-implemented method can include generating, by a system comprising a processor, synthetic artifact data corresponding to one or more CT image artifacts, wherein the synthetic artifact data comprises anatomy agnostic synthetic representations of the one or more CT image artifacts. The method further includes generating, by the system, augmented CT images comprising the one or more CT image artifacts using the synthetic artifact data. In one or more examples, the method can further include training, by the system, a medical image inferencing model to perform an inferencing task using the augmented CT images as training images.

Abstract: A casino table card gaming system in which messages are communicated from at least two or three distinct sensors without date stamping to a first intelligent microprocessor component that at least date stamps the signal and forwards the date stamped signal to a distal memory component that stores the date stamped signal. The system may comprise the at least two signals originating from at least one dealer card sensor and at least one discard rack sensor. The system with at least three signal sources may comprise a casino table, at least three distinct sensors that send an undated signal, and a first intelligent microprocessor component, wherein the at least three distinct sensors comprise at least one bet sensor, at least one dealer card sensor, and at least one card sensor in a discard rack.