Abstract: An apparatus to facilitate ensemble learning for deep feature defect detection is disclosed. The apparatus includes one or more processors to receive a deep feature vector from a feature extractor of an ensemble learning system, the deep feature vector extracted from input data; cluster the deep feature vector into a plurality of clusters based on a distance into the plurality of clusters; execute a probabilistic machine learning model corresponding to a cluster of the plurality of clusters to which the deep feature vector is clustered; and detect whether the deep feature vector comprises a defect based on an output of execution of the probabilistic machine learning model.

Abstract: A system and method provide for secure activation of physical credit cards from a display provided at a store. Temporary spending cards (TSP) for use as credit cards are provided in tamper evident packages found in the display. The TSPs are initially inactivated. Upon removal of the TSP from the package, a user may scan the QR code on the TSP to direct the user's mobile device to a secure location that prompts the user for credit related information. A credit card system evaluates the information using business rules to determine whether or not to approve the user for activation. If approved, then the user is prompted to enter a serial number found on the card to allow immediate spending. The serial number is different from an account number for the card. The TSP expires within a predetermined relatively short time period.

Abstract: An innovative tracking software system provides independent proof of primary-care physician (PCP) efforts to improve urgent access to care and coordination of care. PCPs are provided with tools and financial incentives to better manage urgent care requests and thereby provide better service while reducing avoidable hospital utilization (ER and re-admissions) and costs. In particular, independent and accurate measurements of provider performance enable the payment of financial incentives to PCPs.

Abstract: An innovative tracking software system provides independent proof of primary-care physician (PCP) efforts to improve urgent access to care and coordination of care. PCPs are provided with tools and financial incentives to better manage urgent care requests and thereby provide better service while reducing avoidable hospital utilization (ER and re-admissions) and costs. In particular, independent and accurate measurements of provider performance enable the payment of financial incentives to PCPs.