Abstract: A system for dark current compensation in SPAD imagery is configurable to capture an image frame with the SPAD array and generate a temporally filtered image by performing a temporal filtering operation using the image frame and at least one preceding image frame. The at least one preceding image frame is captured by the SPAD array at a timepoint that temporally precedes a timepoint associated with the image frame. The system is also configurable to obtain a dark current image frame. The dark current image frame includes data indicating one or more SPAD pixels of the plurality of SPAD pixels that detect an avalanche event without detecting a corresponding photon. The system is also configurable to generate a dark current compensated image by performing a subtraction operation on the temporally filtered image or the image frame based on the dark current image frame.

Abstract: Disclosed is a method for automatically detecting an introduction/opening song within a multimedia file. The method includes designating sequential blocks of time in the multimedia file as scene(s) and detecting certain feature(s) associated with each scene. The extracted scene feature(s) may be analyzed and used to assign a probability to each scene that the scene is part of the introduction/opening song. The probabilities may be used to classify each scene as either correlating to or not correlating to, the introduction/opening song. The temporal location of the opening song may be saved as index data associated with the multimedia file.

Abstract: Generally discussed herein are examples of gesture-based extended reality (XR) with object recognition and tracking. A method, implemented by an extended reality (XR) device can include recognizing and tracking one or more objects in the image data, recognizing a gesture in the image data, analyzing the image data to determine whether a condition is satisfied, the condition indicating a recognized and tracked object of the one or more objects proximate which the recognized gesture is to be made, and in response to determining that the condition is satisfied, performing an augmentation of the image data based on satisfaction of the condition.

Abstract: A user can select a capacity setting for a transitional partition that determines the allocation between a low-density partition and a high-density partition in the transitional partition. The transitional partition can dynamically change among multiple settings having different capacities for the low-density partition. If the current setting of the transitional partition does not efficiently utilize the available storage space based on the user's preferences for storing different types of data in the low-density partition and the high-density partition, then the user can choose to change the transitional partition to a different setting that better suits the individual user's storage allocation preferences. Therefore, valuable storage space will not be under-utilized but instead will be repurposed for more efficient use by converting a low-density partition to a high-density partition, and vice versa.

Abstract: Lawful interception (LI) of electronic communications includes receiving, by a triggering function (TF), a task request including a task identifier (ID) from a LI provisioning function (LIFP). The TF receives an indication of a protocol data unit (PDU) session establishment applicable to the received request, and then triggers (including a POI task ID) each point of interception (POI) applicable to the request. The TF receives a task response indicating a status of the task at the triggered POI. The TF reports, to the LIPF, a TF task issue request indicating the status, the TF task ID, the POI task ID, and a network entity ID of the POI.

Abstract: A method for generating speech through multi-speaker neural text-to-speech (TTS) synthesis is provided. A text input may be received (1410). Speaker latent space information of a target speaker may be provided through at least one speaker model (1420). At least one acoustic feature may be predicted through an acoustic feature predictor based on the text input and the speaker latent space information (1430). A speech waveform corresponding to the text input may be generated through a neural vocoder based on the at least one acoustic feature and the speaker latent space information (1440).

Abstract: Aspects relate to observing various activities, interactions, behaviors, and other factors associated with a data exchange and creating one or more markers based on significant details associated with the observance. The one or more markers are retained and selectively rendered as a function of one or more conditions that should be satisfied before the marker is presented to the user. Some markers can contain parameters that should be satisfied in order for the marker to be considered complete. If a parameter is not satisfied, subsequent markers can be created as a function of the rendered marker. The subsequent markers can be rendered when a condition associated with the subsequent marker is satisfied.

Abstract: A method, computer program product, and computing system for generating a first synthetic dataset including a synthetic transcription and a corresponding natural dictation record using a first machine learning model trained to generate transcriptions from medical records. A second synthetic dataset including a synthetic medical record and a corresponding natural transcription is generated using a second machine learning model trained to generate medical records from transcriptions. The first synthetic dataset and the second synthetic dataset are combined with a natural dataset into a synthetic training dataset.

Abstract: Methods, systems, and computer program products for direct assignment of physical devices to confidential virtual machines (VMs). At a first guest privilege context of a guest partition, a direct assignment of a physical device associated with a host computer system to the guest partition is identified. The guest partition includes the first guest privilege context and a second guest privilege context, which is restricted from accessing memory associated with the first guest privilege context. The guest partition corresponds to a confidential VM, such that a memory region associated with the guest partition is inaccessible to a host operating system. It is determined, based on a policy, that the physical device is allowed to be directly assigned to the guest partition. Communication between the physical device and the second guest privilege context is permitted, such as by exposing the physical device on a virtual bus and/or forwarding an interrupt.

Abstract: Some embodiments provide a notebook tool enhanced with minimoremap functionality. Notebooks are multicell documents with varied mime types present in the content of various cells of a given notebook, including executable source code such as scripts, non-executable content, markdown text, natural language text, photos, videos, maps, and more. The notebook tool includes a main view and a superimposed minimoremap view which is functionally coordinated with the main view, e.g., for navigation and cell selection. Notebook cell operations are commanded via the minimoremap. Cells outside the main view viewport are modified without changing the user interface main view focus. Tool-human interaction commands cause the performance of notebook operations such as cell execution, cell rearrangement, cell collapse, cells merge, cells grouping, or cell dependency analysis. Minimoremap cell images are rendered as icons, as graphics, or as scaled-down versions of previously rendered full-size main view images.

Abstract: A method enhances authentication requirements to documents of a document repository based, at least in part, on a security policy associated with a branch under which the documents are organized. The method implements an approval service that is identified in a branch policy. The approval service determines whether a user is authorized to modify documents included in the branch. The method further selectively requires multiple authentications from multiple authentication systems in order to access one or more particular branches in a document repository. Further, the multiple authentication systems are based on separate and independent sets of authentication credentials.

Abstract: Methods, systems and computer program products are provided for automated runtime configuration for dataflows to automatically select or adapt a runtime environment or resources to a dataflow plan prior to execution. Metadata generated for dataflows indicates dataflow information, such as numbers and types of sources, sinks and operations, and the amount of data being consumed, processed and written. Weighted dataflow plans are created from unweighted dataflow plans based on metadata. Weights that indicate operation complexity or resource consumption are generated for data operations. A runtime environment or resources to execute a dataflow plan is/are selected based on the weighted dataflow and/or a maximum flow. Preferences may be provided to influence weighting and runtime selections.

Abstract: In non-limiting examples of the present disclosure, systems, methods, and devices for matching device configurations to games are presented. A set of device configuration tiers may be generated from gameplay telemetry data generated by a plurality of client devices executing a plurality of games. A device configuration for a specific client device may be determined based at least on the specific client device's GUI type. When the specific client device accesses a software game library a determination may be made based on a performance tier corresponding to the device configuration for the specific client device as to whether the specific client device can adequately execute each game. One or more recommendations may be rendered and displayed in the game library based on the determination of whether the specific client device can adequately execute each game.

Abstract: A data processing system implements a receiving a textual input comprising a query for a first image. The data processing system also implements analyzing the textual input to determine a predicted color palette associated with a subject matter of the query; and procedurally generating the first image using the predicted color palette. Another implementation of the data processing system implements providing the textual input to a first machine learning model to obtain the first image, the first machine learning model being trained using a dataset comprising abstract imagery and analyzing the textual input using the first machine learning model to obtain the first image in response to receiving the textual input.

Abstract: Techniques for inferring whether an event is occurring in 3D space based on 2D image data and for maintaining a camera's calibration are disclosed. An image of an environment is accessed. Input is received, where the input includes a 2D rule imposed against a ground plane. The 2D rule includes conditions indicative of an event. A bounding box is generated and encompasses a detected object. A point within the bounding box is projected from a 2D-space image plane of the image into 3D space to generate a 3D-space point. Based on the 3D-space point, a 3D-space ground contact point is generated. That 3D-space ground contact point is reprojected onto the ground plane of the image to generate a synthesized 2D ground contact point. A location of the synthesized 2D ground contact point is determined to satisfy the conditions.

Abstract: Technologies for transitioning between two-dimensional (2D) and three-dimensional (3D) display views for video conferencing are described herein. Video conferencing applications can have multiple display views for a user participating in a video conference. In certain situations a user may want to transition from a 2D display view of the video conference to a more immersive 3D display view. These transitions can be visually jarring and create an uncomfortable user experience. The transition from a 2D display view to a 3D display view can be improved by executing the transition to a 3D display view by manipulating visual properties of a virtual camera that is employed to generate the display views.

Abstract: In implementations of the subject matter as described herein, there is provided a method for forgery detection of a face image. Subsequent to inputting a face image, it is detected whether a blending boundary due to the blend of different images exists in the face image, and then a corresponding grayscale image is generated based on a result of the detection, where the generated grayscale image can reveal whether the input face image is formed by blending different images. If a visible boundary corresponding to the blending boundary exists in the generated grayscale image, it indicates that the face image is a forged image; on the contrary, if the visible boundary does not exist in the generated grayscale image, it indicates that the face image is a real image.

Abstract: The disclosed technology is generally directed to a distributed query-and-command system. In one example of the technology, in a trusted execution environment (TEE) of a first node, database code of the first node and distributed ledger code of the first node is executed, such that execution of the distributed ledger code of the first node instantiates a first instance of a distributed ledger of a consortium blockchain, and such that execution of the query-and-command code of the first node instantiates a first instance of a query-and-command system. The consortium blockchain is distributed among a plurality of nodes, and the query-and-command system is distributed among the plurality of nodes. A first transaction that is associated with modifying the query-and-command system is received. The first transaction is executed. Changes associated with the first transaction to the distributed ledger are persisted.

Abstract: Methods, systems, and computer programs are presented for eliminating bias while training an ML model using training data that includes past experimental data. One method includes accessing experiment results, for A/B testing of a first model, that comprise information regarding engagement with a first set of items presented to users, each item being presented within an ordered list of results. A position bias is calculated for positions within the ordered list of results where the items were presented. A machine-learning program is trained to obtain a second model using a training set comprising values for features that include the calculated position bias. The method includes detecting a second set of items to be ranked for presentation to a first user, and calculates, using the second model, a relevance score for the second set of items, which are ranked based on the respective relevance score and presented on a display.

Abstract: Disclosed in some examples are methods, systems, devices, and machine-readable mediums which provide for sidebar communication threads forked from, or related to, a principal thread. Messages in the sidebar communication thread may include a history of the principal thread, including one or more messages from the principal thread, and may include a proposed principal thread message that is the subject of the sidebar thread discussion. The sidebar thread may also include sidebar thread messages that carries the conversation of the sidebar thread participants. Once a termination condition is reached for the sidebar thread, the sidebar thread terminates and either the proposed principal thread message (as potentially modified by participants of the sidebar thread) becomes an accepted principal thread message and it is posted to the principal thread as if it was sent by the sidebar initiator or no message is posted (e.g., the proposed principal thread message is rejected).