Abstract: Examples herein include methods, systems, and computer program products for utilizing neural networks in ultrasound systems. The methods include processor(s) of a computing device identifying a neural network for implementation on the computing device to generate, based on ultrasound data, inferences and confidence levels for the inferences, the computing device being communicatively coupled via a computing network to an ultrasound machine configured to generate the ultrasound data. The processor(s) implements the neural network on the computing device, including configuring the neural network to generate an inference and a confidence level for at least one image of the images. The processor(s) obtains the ultrasound data including images from the ultrasound machine. The processor(s) determines, for the at least one image, an accuracy of the inference and the confidence level. The processor(s) automatically reconfigures the neural network to increase the accuracy based on the determining the accuracy.

Abstract: The present invention relates to a betting game suitable for being incorporated into a card game involving community cards. Players qualify for a round of the betting game and have the option of placing side bets based solely on a predetermined sub-set of the community cards. A dealer takes the side bets from qualified players exercising their option and then deals the community cards. Successful side bets are awarded according to the predetermined sub-set of the community cards and rules governing the side betting, irrespective of continued participation in the round of the betting game.