Abstract: A method comprising receiving a plurality of images from a multi-modal imaging system; generating a plurality of filtered measurements by performing multi-modal spectral fusion of the plurality of images; and generating, using a physics-informed neural network (PINN) trained based on one or more physical principles associated with X-ray attenuation or scattering, a reconstructed object image based on the plurality of filtered measurements, wherein generating the reconstructed object image comprises (i) generating, using the PINN, a system matrix for an X-ray imaging forward model by refining one or more coefficients of the system matrix based on a physics-informed loss function, and (ii) generating, using the X-ray imaging forward model and based on the plurality of filtered measurements, the reconstructed object image.

Abstract: A method and system are directed to generating, using a plurality of candidate machine learning models, a plurality of prediction outputs based on a testing dataset; determining, using the plurality of prediction outputs, a best-performing machine learning model from the plurality of candidate machine learning models based on one or more evaluation metrics; generating, using the best-performing machine learning model, one or more CAM images for an input image; and generating one or more counterfactual explanations based on the one or more CAM images and a subset of prediction outputs of the plurality of prediction outputs that correspond to the best-performing machine learning model.

Abstract: A method and system are directed to determining one or more inspection modalities for inspecting a hardware device; receiving measurement data that is associated with the performance of one or more inspections on the hardware device based on the one or more inspection modalities; determining one or more distinguishing features based on the measurement data, wherein the one or more distinguishing features correspond to one or more hardware components of the hardware device; and generating a scan-based feature identifier for the hardware device based on the one or more distinguishing features.

Abstract: The innovations disclosed herein concern improvements for a hosted gaming environment to provide improved flexibility, scalability, and game deployment/maintenance. In particular, the multi-form gaming platforms disclosed herein may host so-called “iGaming” sessions (i.e., online gaming with real money wagering), mobile Class-II gaming sessions (e.g., Bingo games) and/or mobile Class-III gaming sessions (e.g., traditional casino-style games), as well as “Social” or “Demo” gaming sessions (i.e., online gaming with non-real money wagering).

Abstract: A method and system that are directed to determining compatibility of integrated circuit (IC) packages with X-ray inspection. The method comprises determining one or more packaging specifications and one or more imaging specifications, generating an X-ray discernability model based on one or more X-ray image samples and one or more X-ray simulations, determining, using the X-ray discernability model, one or more threshold values of one or more DFI parameters that are associated with a target IC package type, assigning one or more compatibility scores to the one or more DFI parameters based on a comparison between one or more test DFI parameter values that are associated with a test IC package design and the one or more threshold values, and generating an X-ray compatibility metric based on the one or more compatibility scores.

Abstract: The innovations disclosed herein concern improvements for a hosted gaming environment to provide improved flexibility, scalability, and game deployment/maintenance. In particular, the multi-form gaming platforms disclosed herein may host so-called “iGaming” sessions (i.e., online gaming with real money wagering), mobile Class-II gaming sessions (e.g., Bingo games) and/or mobile Class-III gaming sessions (e.g., traditional casino-style games), as well as “Social” or “Demo” gaming sessions (i.e., online gaming with non-real money wagering).

Abstract: A mobile support system for providing wagering game play to a plurality of mobile devices is provided. The system is configured to receive a play request for the wagering game from a mobile device, where the play request includes a wager amount and represents placement of a wager for an instance of game play of the wagering game. The system generates an instance of game source data for the wagering game and identifies a game play data set used for the play request. Prior to performing a withdrawal transaction of the wager amount for the play request, the system generate a wager outcome for the play request by comparing the game source data with the game play data set. After determining the wager outcome for the play request, the system causes the withdrawal transaction of the wager amount to be performed, thereby completing a placement of the wager amount.

Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities for setting deprocessing parameters used in conducting hardware deprocessing on a hardware.

Abstract: A mobile support system for providing wagering game play to a plurality of mobile devices includes a first game source server component configured to generate and store ball call information and a first game source adapter component configured to register a first mobile device with the first game source server. The system also includes a resolution platform configured to: receive a play request from the first mobile device, identify a bingo card, receive current ball call data from the first game source adapter component; determine an outcome of the instance of game play, and transmit an outcome message to a game host server, the outcome message causes the award amount to be awarded during display of the instance of game play on the first mobile device.

Abstract: A mobile support system for providing wagering game play to a plurality of mobile devices is provided. The system is configured to receive a play request for the wagering game from a mobile device, where the play request includes a wager amount and represents placement of a wager for an instance of game play of the wagering game. The system generates an instance of game source data for the wagering game and identifies a game play data set used for the play request. Prior to performing a withdrawal transaction of the wager amount for the play request, the system generate a wager outcome for the play request by comparing the game source data with the game play data set. After determining the wager outcome for the play request, the system causes the withdrawal transaction of the wager amount to be performed, thereby completing a placement of the wager amount.

Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities for setting deprocessing parameters used in conducting hardware deprocessing on a hardware.