Abstract: Systems and methods are described herein for implementing a hybrid codec to compress and decompress image data using both lossy and lossless compression. In one example encoding process, it may be determined whether a first block of pixels of a frame of image data contains an edge. A type of compression by which to encode the first block may be selected based on that determination. The first block may be compressed using the selected type of compression. At least one second value associated with the first block of pixels may be set to indicate at least oof the compressed value or the type of compression used to compress the first block.

Abstract: Systems and methods for generating and using geozones (e.g., merchant-specific isochrones) to rank merchants within a delivery service application. The system can obtain data including a merchant location. The method includes generating a geozone for the respective merchant based on the merchant location and an estimated travel time to various subzones. The method includes storing the geozone for the merchant. The method includes ranking one or more merchants based on their respective geozones and a drop-off location associated with a delivery service request. The method includes facilitating the delivery service. The method includes providing progress updates to a user associated with various progress points of the delivery service.

Abstract: Systems, methods, and apparatus related to memory devices. In one approach, an artificial intelligence system uses a memory device to provide inference results. Image data from a camera is provided to the memory device. The memory device stores the image data received from the camera. The memory device includes dynamic random access memory (DRAM), and static random access memory (SRAM). The memory device also includes a processor to run a neural network. The neural network uses the image data as input. An output from the neural network provides an inference result. In one example, the memory device has a same form factor as a conventional DRAM device. The memory device includes a multiply-accumulate (MAC) engine that supports computations for the neural network.

Abstract: An exemplary compounding method of controlling a compounding device to prepare an admixture of at least two distinct material sources can include examining material source solutions for incompatibility of the ingredients and operating a first and a second pump to prevent one of the incompatible source solutions from entering a common flow path. The processing method can detect degradation of a fluid line by evaluating one or more of calibration error rate data, cumulative volumetric flow data, or cumulative pump operation data. The processing method can also selectively transfer a first group of source solutions using the first pump, receiving pump data from one or more sensors that sense actions of the pumps, applying fluid correction factors and calculating discrete pump movements, the pump movements being indicative of an amount of source solution displacement by a pump, and operating the pumps to selectively dispense the source solution amounts according to a preparation order.

Abstract: A flush toilet includes a bowl, a tank coupled to the bowl, a flush valve positioned within the tank, and a flush device configured to initiate a flush cycle. The automatic toilet further comprises an electronic sensing assembly having a sensing member positioned on the bowl for detecting an overflow condition of the bowl, an overflow device operably coupled to the flush device, and a controller in electronic communication with the electronic sensing assembly and the overflow device for controlling the flush device in response to a condition of the toilet.

Abstract: A data processing system for recommending insurance plans implements obtaining an electronic copy of demographic information associated with a user; analyzing the demographic information with a first machine learning model to recommend a bundle of insurance policies based on the demographic information, wherein the first machine learning model is configured to group insured people having similar demographics into clusters and to generate the bundle of insurance policies based on predicted medical insurance consumption associated with a respective group into which the model predicts that the first user falls; customizing the recommended bundle of insurance policies based on the demographic information associated with the user to generate a customized bundle of insurance policies; generating an insurance recommendation report that presents the customized bundle of insurance policies to the user; and causing a user interface of a display of a computing device associated with the user to present the insurance rec

Abstract: A flush toilet includes a bowl, a tank coupled to the bowl, a flush valve positioned within the tank, and a flush device configured to initiate a flush cycle. The automatic toilet further comprises an electronic sensing assembly having a sensing member positioned on the bowl for detecting an overflow condition of the bowl, an overflow device operably coupled to the flush device, and a controller in electronic communication with the electronic sensing assembly and the overflow device for controlling the flush device in response to a condition of the toilet.

Abstract: An electrolytic ozone generator for use with a faucet and methods for assembling and using the same.

Abstract: A data processing system for recommending insurance plans implements obtaining an electronic copy of demographic information associated with a user; analyzing the demographic information with a first machine learning model to recommend a bundle of insurance policies based on the demographic information, wherein the first machine learning model is configured to group insured people having similar demographics into clusters and to generate the bundle of insurance policies based on predicted medical insurance consumption associated with a respective group into which the model predicts that the first user falls; customizing the recommended bundle of insurance policies based on the demographic information associated with the user to generate a customized bundle of insurance policies; generating an insurance recommendation report that presents the customized bundle of insurance policies to the user; and causing a user interface of a display of a computing device associated with the user to present the insurance rec

Abstract: A method of manufacturing a doped polycrystalline ceramic optical device includes mixing a plurality of transition metal complexes and a plurality of rare-earth metal complexes to form a metal salt solution, heating the metal salt solution to form a heated metal salt solution, mixing the heated metal salt solution and an organic precursor to induce a chemical reaction between the heated metal salt solution and the organic precursor to produce a plurality of rare-earth doped crystalline nanoparticles, and sintering the plurality of rare-earth doped nanoparticles to form a doped polycrystalline ceramic optical device having a rare-earth element dopant that is uniformly distributed within a crystal lattice of the doped polycrystalline ceramic optical device.

Abstract: A machining simulator for providing haptic feedback to a user, said simulator comprising a processor coupled to a simulation machine, said processor configured to receive at least one input from said simulation machine to define at least one variable corresponding to a simulation; wherein said at least one variable is defined within a database accessible to said simulator; and upon receipt of the at least one input into said simulation machine, generating a haptic feedback response if the at least one input is greater than or less than a defined range within said database.

Abstract: An electrolytic ozone generator for use with a faucet and methods for assembling and using the same.

Abstract: The system for pulling wire through a conduit includes a cable puller and a remote controller. The cable puller may pull a wire through a conduit. The wire may be removably coupled to a cable coupler located on the rear of the cable puller. The cable puller may be inserted into a first end of the conduit and may progress to a second end of the conduit under the influence of a plurality of tractors. A camera that is mounted on a faceplate at the front of a housing of the cable puller may transmit one or more images to the remote controller. One or more visible light sources and one or more infrared light sources may provide illumination for the camera. Movements of the cable puller may be controlled remotely using the remote controller.

Abstract: Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for executing efficient and reliable techniques for testing application programming interfaces (APIs) by utilizing at least one of API endpoint modeling data entities and workflow design user interfaces that are generated based at least in part on API endpoint modeling data entities.

Abstract: Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for executing efficient and reliable techniques for testing application programming interfaces (APIs) by utilizing at least one of API endpoint modeling data entities and workflow design user interfaces that are generated based at least in part on API endpoint modeling data entities.

Abstract: Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for automatically testing workflow data entities based at least in part on user action graphs that are generated based at least in part on user action data for a plurality of user profiles. In doing so, various embodiments of the present invention address technical challenges related to software testing and make substantial technical improvements to improving the computational efficiency, traceability, and operational reliability of both test automation platforms and manual software testing platforms.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing functionally targeted unit testing by executing a set of functionally targeted testing operations with respect to a subset of one or more methods within the target software code unit that are associated with a functionally targeted method category, where the method category for a method is generated by utilizing a method category determination machine learning model and based at least in part on a set of method features for the method.

Abstract: Various embodiments of the present invention address technical challenges related to software testing and make substantial technical improvements to improving the computational efficiency and operational reliability of test automation platforms, as well as to the operational reliability of software applications that are tested using the software application platforms. Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for performing efficient and techniques for visual software test management using captured test case data entities, annotation-based test case data entities, and dynamic test case data entity cloning.

Abstract: Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for executing efficient and reliable techniques for software test execution planning by utilizing at least one of static execution plan data entities, dynamic execution plan data entities, worksheet execution run data entities, automated execution run data entities, and manual execution run data entities.

Abstract: Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for executing efficient and reliable techniques for software test execution planning by utilizing at least one of static execution plan data entities, dynamic execution plan data entities, worksheet execution run data entities, automated execution run data entities, and manual execution run data entities.