Abstract: A system including a plurality of processor cores, a plurality of graphics processing units, a plurality of peripheral circuits, and a plurality of memory controllers is configured to support scaling of the system using a unified memory architecture.

Abstract: A system can implement operations that generate a representative keyword search term based on obtained domain data. The operations including, based on the domain data, identifying keyword search term data, product data, and interaction data. Additionally, the operations include determining a set of keyword search term-product pairings, based on the keyword search term data, the product data and the interaction data. Moreover, the operations include determining, one or more clusters of keyword search terms and, a representative keyword search term for each of the one or more clusters of keyword search terms, based on an engagement score associated with each keyword search term and the set of keyword search terms. Furthermore, the operations include outputting the representative keyword search term of each of the one or more clusters of keyword search terms.

Abstract: A workload compliance governor system includes a management system coupled to a computing system. A workload compliance governor subsystem in the computing system receives a workload performance request associated with a workload, exchanges hardware compose communications with the management system to compose hardware components for the workload, and receives back an identification of hardware components. The workload compliance governor subsystem then determines that the identified hardware components satisfy hardware compliance requirements for the workload, and configures the identified hardware components in the computing system based on the software compliance requirements for the workload in order to cause those identified hardware components to provide an operating system and at least one application that operate to perform the workload.

Abstract: A system including a plurality of processor cores, a plurality of graphics processing units, a plurality of peripheral circuits, and a plurality of memory controllers is configured to support scaling of the system using a unified memory architecture.

Abstract: The present disclosure relates generally to systems, methods, and devices for interpreting neural signals to determine a desired movement of a target, transmitting electrical signals to the target, and dynamically monitoring subsequent neural signals or movement of the target to change the signal being delivered if necessary, so that the desired movement is achieved. In particular, the neural signals are decoded using a feature extractor, decoder(s) and a body state observer to determine the electrical signals that should be sent.

Abstract: An example apparatus includes: a feed forward equalizer (FFE) with a FFE output, adder circuitry with a first adder input, a second adder input, and a first adder output, the first adder input coupled to the FFE output, a multiplexer (MUX) with a first MUX input, a second MUX input, and a MUX output, the first MUX input coupled to the first adder output, the second MUX input coupled to the FFE output, a decision feedback equalizer (DFE) with a DFE output coupled to the second adder input, and a timing error detector (TED) with a first TED input coupled to the MUX output.

Abstract: Various embodiments provide for a pre-validation of various aspects of an application deployment before any resources are provisioned in a user account. Pre-validation can perform checks on aspects such as connectivity and credential-based access for instances to be provisioned in a user account. These checks can be performed through an application wizard or deployment service that can collect information though a single console, and can ensure that these checks succeed before the requested instances are provisioned in the user account.

Abstract: Disclosed are various examples for client device migration to utilize management platform features. In some examples, the client device is identified as compatible with a management platform. A migration of the client device to utilize a management platform feature is accepted through a user interface. A management platform account is created with a management platform service. A management profile is installed on the client device. The profile is compatible with the management platform. The management platform feature is enabled on the client device.

Abstract: A method and apparatus for deep content tagging. A media device receives one or more first frames of a content item, where the one or more first frames spans a duration of a scene in the content item. The media device detects one or more objects or features in each of the first frames using a neural network model and identifies one or more first genres associated with the first frames based at least in part on the detected objects or features in each of the first frames. The media device further controls playback of the content item based at least in part on the identified first genres.

Abstract: A light system of a vehicle comprising: (a) a connector housing; (b) a reflector housing connected to the connector housing and being movable relative to the connector housing; (c) one or more adjustment assemblies comprising: (i) a socket in the connector housing; and (ii) a rod in the reflector housing that extends into the socket and is rotatable relative to the socket so that the reflector housing is adjustable relative to the connector housing; and wherein the rod has a length and a width with the length being greater than the width and the rod being rotatable around an axis of the length.

Abstract: A communication system personality provisioning system includes a communication system included in a computing system and coupled to a management system. The communication system stores authentication information in a UEFI database of a UEFI system in the communication system. The communication system receives a first operating software image and application/service from the management system, authenticates the first operating software image and application/service via first secure initialization operations performed by the UEFI system using the authentication information and, in response, installs the first operating software image and application/service on the communication system.

Abstract: This disclosure is directed to systems and techniques for detecting change in patient health and if a change in patient health is detected, direct a medical device to generate for display output indicating the detection of the change in patient health. An example medical system or technique applies a model to values of configurable settings that are programmed into detection logic of a medical device; based on the application, determine whether modified values of the configurable settings, when implemented by the detection logic, would change a determination, by the medical device, regarding whether sensed physiological activity is indicative of cardiac episode for a patient; and in response to a determination that the modified values would change the determination regarding whether the sensed physiological activity is indicative of the cardiac episode for the patient, generate output data indicative of the modified values for the configurable settings for the medical device.

Abstract: The disclosure relates to AI-based machine-learning and natural language modeling to identify semantic similarities between sets of content having natural language text. For example, a system may generate a relevance classification that indicates whether content such as articles are non-specifically relevant to charities without identifying a particular charity. If the content is non-specifically relevant to charities, the system may apply a natural language model to generate sentence embeddings based on the content and determine a level similarity between the sentence embeddings and a query embedding generated from a charity query. The charity query may itself be generated from a full description of the charity through an encoder-decoder architecture with reinforcement learning.

Abstract: The present invention relates to a cosmetic process for a keratin substance such as the skin or the lips, comprising the steps of: applying onto the keratin substance at least one composition comprising at least one coloring agent; and applying onto the keratin substance, to which the composition has been applied, a microneedle sheet comprising a substrate sheet and a plurality of microneedles on the substrate sheet such that the microneedles are capable of penetrating into the keratin substance. According to the present invention, microneedles can penetrate into a keratin substance to provide the keratin substance with long lasting and uniform color effects.

Abstract: An improved UAV system and methods for operation in an inventory management system. The methods include generating a three dimensional (3D) map and estimating a position and orientation of the UAV based upon this map; autonomously navigating the UAV in the environment by using the generated 3d map in conjunction with the position and the orientation of the UAV; performing static and dynamic obstacle avoidance in the environment using collision avoidance; and finding the optimal path from a source node to a destination node within the environment.

Abstract: Described are methods and systems for calibrating simulation models to generate digital twins for physical entities. In some embodiments, a method includes receiving a plurality of datasets for a plurality of corresponding physical entities. A calibration request is enqueued to a calibration requests queue for each received dataset and includes information indicating a dataset and a corresponding physical entity. A plurality of calibration engines and a plurality of corresponding simulation clusters for generating a plurality of calibration results for a plurality of calibration requests dequeued from the calibration requests queue can be deployed.

Abstract: In implementations of systems for estimating terminal event likelihood, a computing device implements a termination system to receive observed data describing values of a treatment metric and indications of a terminal event. Values of the treatment metric are grouped into groups using a mixture model that represents the treatment metric as a mixture of distributions. Parameters of a distribution are estimated for each of the groups and mixing proportions are also estimated for each of the groups. In response to receiving a user input requesting an estimate of a likelihood of the terminal event for a particular value of the treatment metric, the termination system generates an indication of the estimate of the likelihood of the terminal event for the particular value based on a distribution density at the particular value for each of the groups and a probability of including the particular value in each of the groups.

Abstract: Disclosed herein are various techniques for more precisely and reliably (a) positioning top and bottom border edges relative to textual content, (b) positioning left and right border edges relative to textual content, (c) positioning mixed edge borders relative to textual content, (d) positioning boundaries of a region of background shading that fall within borders of textual content, (e) positioning borders relative to textual content that spans columns, (f) positioning respective borders relative to discrete portions of textual content, (g) positioning collective borders relative to discrete, abutting portions of textual content, (h) applying stylized corner boundaries to a region of background shading, and (i) applying stylized corners to borders.

Abstract: In an example, a first set of text may be received from a client device. A set of content items may be selected from among content items based upon the first set of text and a plurality of sets of content item text associated with the content items. A set of terms may be determined based upon the first set of text and the set of content items. A similarity profile associated with the set of terms may be generated. The similarity profile is indicative of similarity scores associated with similarities between terms of the set of terms. Relevance scores associated with the set of terms may be determined based upon the similarity profile. One or more search terms may be selected from among the set of terms based upon the relevance scores. A search may be performed based upon the one or more search terms.

Abstract: Embodiments provide methods and systems for merchant data cleansing in payment network. Method performed by server system includes accessing electronic payment transaction records from transaction database. Each electronic payment transaction record includes merchant data fields. Method includes determining set of electronic payment transaction records with ambiguous merchant data fields having matching probability scores less than predetermined threshold value computed by probabilistic matching model and identifying at least one issue for non-matching of each of set of electronic payment transaction records. Method includes determining data model based on at least one issue of each of set of electronic payment transaction records. Data model is one of: phone-to-city model, payment aggregator model, and merchant name normalization model.