Abstract: A data security system, including a security manager computer making network application programming interface (API) calls to a cloud-based service that performs data exchange transactions among end users, the API calls remotely controlling the cloud-based service so that the security manager computer accesses transactions that have entered the cloud-based service, whereby an end user may forward a transaction received through the cloud-based service to a central authority as being a potentially harmful or deceptive transaction, and a data inspector operative to analyze a transaction as being indeed harmful or deceptive, by applying machine learning, wherein the security manager computer controls the cloud-based service so as to transmit to the security manager transactions forwarded to the central authority, instead of or in addition to transmitting these transactions to the central authority, for analysis by the data inspector.

Abstract: Methods for uniquely identifying respective participants in a teleconference involving obtaining components of the teleconference including an audio component, a video component, teleconference metadata, and transcription data, parsing components into plural speech segments, tagging respective speech segments with speaker identification information, and diarizing the teleconference so as to label respective speech segments.

Abstract: Disclosed herein are systems, methods, and computer program products for predicting movement of an object in a real-world environment. The methods comprise: obtaining a plurality of image frames captured in a sequence during a period of time; identifying first image frames of the plurality of image frames that contain an image of at least one object with one or more turn signals; analyzing the first image frames to obtain a classification for a pose of the at least one object; using the classification of the pose of the at least one object to further obtain a type classification for at least one of the turn signals and a state classification for a state of at least one of the turn signals; and predicting movement of the at least one object based at least on the type and state classifications obtained for at least one of the turn signals.

Abstract: Disclosed are techniques for wireless positioning. In an aspect, a first user equipment (UE) transmits a request to perform a UE-UE positioning procedure with a second UE, receives a radio resource configuration for the UE-UE positioning procedure, the radio resource configuration indicating first radio resources for transmitting positioning signals to the second UE and second radio resources for receiving positioning signals from the second UE, transmits one or more first positioning signals to the second UE on the first radio resources, receives one or more second positioning signals from the second UE on the second radio resources, and enables a distance between the first UE and the second UE to be estimated based on at least transmission times of the one or more first positioning signals and times of arrival (ToAs) of the one or more second positioning signals.

Abstract: A first type of service map may be converted to a second type of a service map by adding a conversion tag to a set of configuration items (CIs) presented by the service map. The conversion tag includes data that may be used to link historical information associated with the service map of the first type, such as information related to incidents, alerts, change requests, and other events, to the second type. A second service map may be generated using the conversion tags and/or tag-based filtering processes such that the second service map displays different CIs as compared to the first service map.

Abstract: Transaction items for a transaction are received during a transaction. Any non-barcoded items are identified and processed within a retailer-specific vector space to identify a most-similar barcoded item offered by a corresponding retailer to the non-barcoded item. The transaction items are revised to include the most-similar barcoded item as a replacement for the non-barcoded item. The revised transaction item list is used to identify a recommended item based on a segment-specific vector space associated with a segment assigned to the transaction. The recommended item is provided in real time to a transaction service that processes the transaction for delivery to a customer associated with the transaction.

Abstract: Item codes for items are mapped to multidimensional space as item vectors based on transaction contexts. Similarities between item codes are based on distances between the item codes within the multidimensional space. Substitute items for out-of-stock items are automatically identified based on the item similarities and based on collected feedback from transactions. The substitute items are provided in real time to customers during transactions, item picking services during item fulfillment, and shelf management services for item shelf stocking. In an embodiment, the substitute items are further determined based on a specific transaction history for a given customer and specific feedback collected for the given customer from the specific transaction history.

Abstract: A performance management scheme for a processor based on leakage current measurement in field. The scheme performs the operations of detection and correction. The operation of detection measures per core leakage current in the field (e.g., using voltage regulator electrical current counters). The operation of correction changes the processor power management behavior. For example, processor cores showing high leakage degradation may be logically swapped with cores showing low leakage degradation.

Abstract: A method for estimating a likelihood of a stroke condition of a subject, the method comprising: acquiring clinical measurement data pertaining to said subject, said clinical measurement data including at least one of image data, sound data, movement data, and tactile data; extracting from said clinical measurement data, potential stroke features according to at least one predetermined stroke assessment criterion; comparing said potential stroke features with classified sampled data acquired from a plurality of subjects, each positively diagnosed with at least one stroke condition, defining a positive stroke dataset; and determining, according to said comparing, a probability of a type of said stroke condition, and a probability of a corresponding stroke location of said stroke condition with respect to a brain location of said subject.

Abstract: A VR system is described. A simulation engine receives position data of an object during a scenario and transmits the position data to a modular symptoms generator. The modular symptoms generator queries a database to determine predefined position data for the object during the scenario and compares the captured position data with the predefined position data for the object during the scenario. If the position data for the object meets or exceeds the predefined position data, the modular symptoms generator executes a first modification on a portion of the scenario and if the position data for the object fails to meet or exceed the predefined position data, the modular symptoms generator executes a second modification on a portion of the scenario. The first modification results in a more favorable situation as compared to the situation resulting from the second modification.

Abstract: A vacuum gripper comprises a rigid base element and a loop-shaped vacuum seal element. The base element has first and second opposite sides. The seal element is attached at least indirectly to the second side and protruding therefrom in a direction away from the first side. The seal element comprises a contact surface that at least partially contacts with an object surface and an encircling surface oriented transversely to the contact surface so as to define a chamber. The seal element is elastically deformable at the contact surface to enable conforming to the object surface when pressed thereagainst. The vacuum gripper comprises an air extraction means mounted to the first side to be in fluid communication with the chamber through the base element, and configured to continuously extract air from the chamber to cause the contact surface to be urged towards and grip the object surface when pressed thereagainst.

Abstract: Visualizations are automatically generated based at least on a received identifier that identifies a report. One or more data sets and one or more style configurations are retrieved from a shared visualization library via a backend API based on the received identifier and passed to a router component. The router component includes a switch that renders a score component, which generates a score visualization, if the retrieved data sets include score data. If the data sets include time series data, or the score visualization also includes a time series graph, the router component renders a time series component that passes the data sets and the style configurations to a parser that parses the data sets and the style configurations and outputs one or more highcharts options objects. A highcharts component generates the time series visualizations and/or adds the time series graph to the score visualization based on the highcharts options objects.

Abstract: Methods, systems, and devices for wireless communications are described in which radio units (RUs), distributed units (DUs), or combinations thereof, may have a single hardware configuration that may be configured to implement different functions for radio frequency (RF) and baseband processing at a base station. A desired functionality for a RU or DU may be identified, and the RU or DU may be configured to implement the functionality through run-time configuration or boot images to implement a particular set of functions that may be needed for a particular cell or deployment. A RU or DU may be reconfigured following an initial configuration to perform different functions following the reconfiguration.

Abstract: Methods and apparatus relating to multi-level CPU (Central Processing Unit) high current protection are described. In one embodiment, different workloads may be assigned different license types and/or weights based on micro-architectural events (such as uop (micro-operation) types and sizes) and/or data types. Other embodiments are also disclosed and claimed.

Abstract: A storage system analyzes a logical block address range of data in a resolution of a defragmentation unit. The storage system determines whether a given defragmentation unit is fragmented above a threshold and performs a defragmentation operation accordingly. Additionally or alternatively, the storage system can receive a suggested logical block address read order from a host to improve performance.

Abstract: A system uses data captured by vehicle-mounted sensors to generate a view of a ground surface. The system does this by receiving digital image frames and associating a location and pose of the vehicle that captured the image with each digital image frame. The system will access a three dimensional (3D) ground surface estimation model of the ground surface, select a region of interest (ROI) of the ground surface, and select a vehicle pose. The system will identify digital image frames that are associated with the pose and also with a location that corresponds to the ROI. The system will generate a visual representation of the ground surface in the ROI by projecting ground data for the ROI from the ground surface estimation model to normalized 2D images that are created from the digital image frames. The system will save the visual representation to a two-dimensional grid.

Abstract: Systems and methods for monitoring health and wellbeing in an ongoing manner use radar chips to scan monitored regions such that data obtained by the scanning radar chip are processed to identify targets within the monitored region. Health indication and activity parameters are gathered via a wellbeing prediction engine assesses the targets using a machine learning model.

Abstract: A storage system allocates single-level cell (SLC) blocks in its memory to act as a write buffer and/or a read buffer. When the storage system uses the SLC blocks as a read buffer, the storage system reads data from multi-level cell (MLC) blocks in the memory and stores the data in the read buffer prior to receiving a read command from a host for the data. When the storage system uses the SLC blocks as a write buffer, the storage system retains certain data in the write buffer while other data is flushed from the write buffer to MLC blocks in the memory.

Abstract: In one embodiment, processor includes a first core to execute instructions, and a power controller to control power consumption of the processor. The power controller may include a hardware performance state controller to control a performance state of the first core autonomously to an operating system, and calculate a target operating frequency for the performance state based at least in part on an energy performance preference hint received from the operating system. Other embodiments are described and claimed.

Abstract: Provided are methods for selective extraction of cannabinoids, for example cannabidiol (CBD), from a plant source, by using tailored extraction media.