Abstract: Embodiments disclose systems and methods that aid in screening, diagnosis and/or monitoring of medical conditions. The systems and methods may allow, for example, for automated identification and localization of lesions and other anatomical structures from medical data obtained from medical imaging devices, computation of image-based biomarkers including quantification of dynamics of lesions, and/or integration with telemedicine services, programs, or software.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer-storage media, for prioritizing test cases. Processes may include obtaining test artifacts that were generated based on testing one or more legacy versions of a software application using multiple test cases, generating a risk index based at least on the test artifacts that were generated based on testing the one or more legacy versions of the software application using the multiple test cases, and training an ensemble model that is configured to identify likely unnecessary or redundant test cases in connection with in testing an updated version of the software application, based at least on the risk index.

Abstract: Embodiments disclose systems and methods that aid in screening, diagnosis and/or monitoring of medical conditions. The systems and methods may allow, for example, for automated identification and localization of lesions and other anatomical structures from medical data obtained from medical imaging devices, computation of image-based biomarkers including quantification of dynamics of lesions, and/or integration with telemedicine services, programs, or software.

Abstract: System and method for fully automated end-to-end eye screening with automated medical acquisition and analysis. The system includes an eye imaging device, a mechanism that moves the imaging device, a computing platform that guides the movement mechanism, a user interface, and an electronic display device and/or printer to provide the screening, monitoring, and/or diagnosis report.

Abstract: A method of channel state information (CSI) report can include receiving a CSI report configuration at a user equipment (UE) from a base station, the CSI report configuration being associated with a set of CSI reference signal (CSI-RS) resources corresponding to multiple transmission reception points (TRPs), performing a channel measurement based on the CSI-RSs resources corresponding to the multiple TRPs, determining a precoder matrix indicator (PMI) based on measurement results of the channel measurement, the PMI indicating a precoder matrix, that enables full-power transmission of each of the multiple TRPs, the precoder matrix being represented as a vertical concatenation of submatrices each corresponding to one of the multiple TRPs, each submatrix satisfying a condition that the product of the conjugate transpose of the submatrix with itself equals an identity matrix scaled by a real valued number, and transmitting a CSI report including the PMI to the base station.

Abstract: A method of channel state information (CSI) report can include receiving a CSI report configuration at a user equipment (UE) from a base station, the CSI report configuration being associated with a set of CSI reference signal (CSI-RS) resources corresponding to multiple transmission reception points (TRPs), performing a channel measurement based on the CSI-RSs resources corresponding to the multiple TRPs, determining a precoder matrix indicator (PMI) based on measurement results of the channel measurement, the PMI corresponding to a precoder matrix, denoted W, of a Type II CSI codebook, the precoder matrix having a spatial domain (SD) basis vector matrix, denoted W1, SD basis selection of the SD basis vector matrix being TRP-specific, and transmitting a CSI report to the base station, the CSI report including the PMI.

Abstract: A method of channel state information (CSI) report can include receiving a CSI report configuration at a user equipment (UE) from a base station, the CSI report configuration being associated with a set of CSI reference signal (CSI-RS) resources corresponding to multiple transmission reception points (TRPs), performing a channel measurement based on the CSI-RSs resources corresponding to the multiple TRPs, determining a precoder matrix indicator (PMI) based on measurement results of the channel measurement, the PMI corresponding to a precoder matrix, denoted W, of a Type II CSI codebook, the precoder matrix having a spatial domain (SD) basis vector matrix, denoted W1, SD basis selection of the SD basis vector matrix being TRP-specific, and transmitting a CSI report to the base station, the CSI report including the PMI.

Abstract: A method of channel state information (CSI) report can include receiving a CSI report configuration at a user equipment (UE) from a base station, the CSI report configuration being associated with a set of CSI reference signal (CSI-RS) resources corresponding to multiple transmission reception points (TRPs), performing a channel measurement based on the CSI-RSs resources corresponding to the multiple TRPs, determining a precoder matrix indicator (PMI) based on measurement results of the channel measurement, the PMI corresponding to a precoder matrix, denoted W, of a Type II CSI codebook, the precoder matrix having a spatial domain (SD) basis vector matrix, denoted W1, SD basis selection of the SD basis vector matrix being TRP-specific, and transmitting a CSI report to the base station, the CSI report including the PMI.

Abstract: Embodiments disclose systems and methods that aid in screening, diagnosis and/or monitoring of medical conditions. The systems and methods may allow, for example, for automated identification and localization of lesions and other anatomical structures from medical data obtained from medical imaging devices, computation of image-based biomarkers including quantification of dynamics of lesions, and/or integration with telemedicine services, programs, or software.

Abstract: A method of downlink channel state information (DL CSI) measurement and reporting is proposed in FR1 frequency division duplex (FDD) systems. CSI reference signal (CSI-RS) is directed towards dominant spatial domain (SD, beam) and frequency domain (FD, delay) components in the propagation environment. By partial channel reciprocity, angles and delays in the DL channel can be obtained by UL channel measurement. UE only needs to measure and feedback the DL CSI corresponding to the dominant angles and delays. BS obtains the precoder in the antenna-frequency domain using the CSI feedback in the beam-delay domain. BS uses the precoder for transmission over Physical downlink shared channel (PDSCH). In one embodiment, UE reconstructs the DL channel on a multitude of delays using the DL channel estimated on a few beamformed CSI-RS and delay tap indices signaled from the network.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer-storage media, for prioritizing test cases. Processes may include obtaining test artifacts that were generated based on testing one or more legacy versions of a software application using multiple test cases, generating a risk index based at least on the test artifacts that were generated based on testing the one or more legacy versions of the software application using the multiple test cases, and training an ensemble model that is configured to identify likely unnecessary or redundant test cases in connection with in testing an updated version of the software application, based at least on the risk index.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer-storage media, for prioritizing test cases. Processes may include obtaining test artifacts that were generated based on testing one or more legacy versions of a software application using multiple test cases, generating a risk index based at least on the test artifacts that were generated based on testing the one or more legacy versions of the software application using the multiple test cases, and training an ensemble model that is configured to identify likely unnecessary or redundant test cases in connection with in testing an updated version of the software application, based at least on the risk index.

Abstract: System and method for fully automated end-to-end eye screening with automated medical acquisition and analysis. The system includes an eye imaging device, a mechanism that moves the imaging device, a computing platform that guides the movement mechanism, a user interface, and an electronic display device and/or printer to provide the screening, monitoring, and/or diagnosis report.

Abstract: Embodiments disclose systems and methods that aid in screening, diagnosis and/or monitoring of medical conditions. The systems and methods may allow, for example, for automated identification and localization of lesions and other anatomical structures from medical data obtained from medical imaging devices, computation of image-based biomarkers including quantification of dynamics of lesions, and/or integration with telemedicine services, programs, or software.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer-storage media, for prioritizing test cases. Processes may include obtaining test artifacts that were generated based on testing one or more legacy versions of a software application using multiple test cases, generating a risk index based at least on the test artifacts that were generated based on testing the one or more legacy versions of the software application using the multiple test cases, and training an ensemble model that is configured to identify likely unnecessary or redundant test cases in connection with in testing an updated version of the software application, based at least on the risk index.

Abstract: System and method for fully automated end-to-end eye screening with automated medical acquisition and analysis. The system includes an eye imaging device, a mechanism that moves the imaging device, a computing platform that guides the movement mechanism, a user interface, and an electronic display device and/or printer to provide the screening, monitoring, and/or diagnosis report.

Abstract: Techniques are described for generating prediction metrics that describe one or more predicted characteristics and/or outcomes of a software development project. Implementations employ machine learning (ML) algorithms to develop prediction models to predict characteristics of a project. For example, the models can be employed to predict a number of defects that may be present in a software product that is produced by a software development project. A model can be trained using input data captured from previous software projects, such as data describing the feature set of a software product, the timeline for its development, the particular type or domain of software, a number of modules, functions, etc., the particular number and/or identity of personnel working on the project, and so forth. Such input data can be analyzed to extract features that are provided as training data to train a model that is used to predict project metrics.

Abstract: Embodiments disclose systems and methods that aid in screening, diagnosis and/or monitoring of medical conditions. The systems and methods may allow, for example, for automated identification and localization of lesions and other anatomical structures from medical data obtained from medical imaging devices, computation of image-based biomarkers including quantification of dynamics of lesions, and/or integration with telemedicine services, programs, or software.

Abstract: Techniques are described for generating prediction metrics that describe one or more predicted characteristics and/or outcomes of a software development project. Implementations employ machine learning (ML) algorithms to develop prediction models to predict characteristics of a project. For example, the models can be employed to predict a number of defects that may be present in a software product that is produced by a software development project. A model can be trained using input data captured from previous software projects, such as data describing the feature set of a software product, the timeline for its development, the particular type or domain of software, a number of modules, functions, etc., the particular number and/or identity of personnel working on the project, and so forth. Such input data can be analyzed to extract features that are provided as training data to train a model that is used to predict project metrics.

Abstract: System and method for fully automated end-to-end eye screening with automated medical acquisition and analysis. The system includes an eye imaging device, a mechanism that moves the imaging device, a computing platform that guides the movement mechanism, a user interface, and an electronic display device and/or printer to provide the screening, monitoring, and/or diagnosis report.