Abstract: According to the various examples, a fully integrated system and method for failure analysis using RF-based thermometry enable the detection and location of defects and failures in complex semiconductor packaging architectures. The system provides synchronous amplified RF signals to generate unique thermal signatures at defect locations based on dielectric relaxation loss and heating.

Abstract: The present disclosure relates to contaminant detection systems and related optical systems and methods. An example contaminant detection system includes an optical coupler configured to couple light into and/or out of an optical element. The contaminant detection system also includes a plurality of light-emitter devices configured to emit emission light toward the optical coupler. The contaminant detection system additionally includes a plurality of detector devices configured to detect at least a portion of the emission light by way of the optical element and the optical coupler. The plurality of detector devices is also configured to provide detector signals indicative of a presence of a contaminant on the optical element.

Abstract: A method and system for using steganographically-encoded time information as a basis to control when a client carries out a content-related action. The client processes for presentation one or more linear media streams, each defining a respective time sequence of frames of media content, and at least one of the streams being steganographically encoded with at least one watermark at a respective time-point within the linear media stream, the watermark encoding a timestamp of the respective time-point within the linear media stream according to a server clock. The client extracts the timestamp from the watermark and computes a time offset based on a difference between the extracted timestamp and a current time according to a client clock. And the client uses the computed time offset as a basis to determine when the client should carry out a content-related action in a given one of the one or more linear media streams.

Abstract: Methods, systems, and computer storage media for providing predicted task-actions for tasks from a plurality of task applications associated with a task management system. In operation, a task associated with a task application is accessed at a task-action prediction engine. An intent of the task is determined. The intent of the task is determined based on task features and an intent prediction machine learning model that is trained to predict intents associated with natural language text. Based on the intent of the task, a predicted task-action is selected based on a task-action computation model that is associated with predefined task-actions and predefined intent-task-categories. The predicted task-action can be communicated to a task management client that causes display of the predicted task-action in combination with a predicted task-action interface element associated with executing the predicted task-action.

Abstract: Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, and/or the like that are configured accurately and programmatically train a responder prediction machine learning model for generating response team predictions based on the systematic collection of one or more responder prediction training corpuses comprising one or more alert related datasets in a responder prediction server system. For example, the responder prediction server system may extract one or more alert attributes for each of the one or more alert related datasets for training one or more responder prediction machine learning models and/or one or more prioritization machine learning models. The responder prediction machine learning model and prioritization machine learning models may process one or more alerts, in real-time, to generate one or more response team prediction objects for rendering in a response team suggestion interface.

Abstract: An image signal processor includes a first matrix processing circuit, a post processing circuit, a second matrix processing circuit, and a split visual and analytics circuit. The first matrix processing circuit is configured to receive a plurality of component images generated based on an image captured by an image sensor and generate a plurality of first matrix outputs based on the plurality of component images. The post processing circuit is configured to perform color conversion on the plurality of first matrix outputs to generate a first luminance component of the image and a chrominance component of the image. The second matrix processing circuit is configured to perform color conversion on the plurality of first matrix outputs to generate a second luminance component of the image and a saturation component of the image. The split visual and analytics circuit is configured to generate visual and analytic data of the image.

Abstract: Approaches to using unstructured input to update heterogeneous data stores include receiving unstructured text input, receiving a template for interpreting the unstructured text input, identifying, using an entity classifier, entities in the unstructured text input, identifying one or more potential parent entities from the identified entities based on the template, receiving a selection of a parent entity from the one or more potential parent entities, identifying one or more potential child entities from the identified entities based on the template and the selected parent entity, receiving a selection of a child entity from the one or more potential child entities, identifying an action item in the unstructured text input based on the identified entities and the template, determining, using an intent classifier, an intent of the action item, and updating a data store based on the determined intent, the identified entities, and the selected child entity.

Abstract: Example systems and methods to transform events and/or mood associated with playing media into lighting effects are disclosed herein. An example apparatus includes a content identifier to identify a first event occurring during presentation of media content at a first time. The example apparatus includes a content driven analyzer to determine a first lighting effect to be produced by a light-producing device based on the first event and instruct the light-producing device to produce the first lighting effect based on the first event during presentation of the media content. The content identifier is to identify a second media event occurring during presentation of the media content at a second time after the first time. The content driven analyzer is to instruct the light-producing device to one of maintain the first lighting effect based on the second event or produce a second lighting effect based on the second event during presentation of the media content.

Abstract: A controller is provided that includes a bit plane generation component and a processor configured to receive one or more headlight commands and to configure the bit plane generation component to generate bit planes of a headlight frame responsive to the one or more headlight commands, wherein the bit plane generation component includes bit generation pipelines configured to operate in parallel to generate respective bits of consecutive bits of a bit plane of the headlight frame.

Abstract: A method and system for dynamically watermarking media content based on transport-stream metadata, to facilitate action by a downstream entity. An intermediary in a media-distribution path could receive a transport stream carrying media content and carrying metadata that is not watermarked in the media content. The intermediary could then obtain from the transport stream the metadata that is not watermarked in the media content and could modify the media content at least by encoding into the media content a watermark that represents the obtained metadata. And the intermediary could then output at least the modified media content for transmission to a downstream entity. The downstream entity could thus obtain from the watermark in the media content the metadata and could use the metadata to facilitate carrying out one or more useful actions.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for identifying supply chain issues are presented. A first supply chain dataset comprising a plurality of supply chain dimensions may be received. A subset of the dataset may be transformed into plurality of supply chain vectors. A temporal moving average plot may be generated for each supply chain vector in a subset of the plurality of supply chain vectors. A set of rules may be applied to each temporal moving average plot to determine a performance value for each corresponding supply chain vector in the subset. A determination may be made that a performance value for a specific one of the supply chain vectors is below a threshold value. An interactive user interface that indicates the performance value for the specific supply chain vector is below the threshold value may be displayed.

Abstract: In current applications of autonomous machines in industrial settings, the environment, in particular the devices and systems with which the machine interacts, is known such that the autonomous machine can operate in the particular environment successfully. Thus, current approaches to automating tasks within varying environments, for instance complex environments having uncertainties, lack capabilities and efficiencies. In an example aspect, a method for operating an autonomous machine within a physical environment includes detecting an object within the physical environment. The autonomous machine can determine and perform a principle of operation associated with a detected subcomponent of the object, so as to complete a task that requires that the autonomous machine interacts with the object. In some cases, the autonomous machine has not previously encountered the object.

Abstract: One high-level aspect of a content-modification system and related methods may involve facilitating content modification by a content-presentation device of received broadcast content in a controlled manner, while under circumstances in which some events that can impact timing may be unpredictable. In particular, certain operations by a content-presentation device may involve matching received content with specific expected content as determined by one or another component of the content-modification system, in order to confirm proper conditions are met for the content-presentation device to proceed with, or continue, content-modification operations. It can happen the matching procedure becomes subject or susceptible to timing irregularities, or jitter. In some instances, jitter may impact the ability to derive the benefits of content modification. Accordingly, example embodiments herein are directed to systems and method for compensation and/or mitigating the effects of jitter.

Abstract: Various embodiments include a camera with a folded optics arrangement and include a voice coil motor (VCM) actuator assembly to provide autofocus (AF) and/or optical image stabilization (OIS) movement. The camera with folded optics and the associated VCM actuator assembly have a first rotational normal mode of free vibration such that lenses of the camera rotate about an optical axis of the camera such that the rotational motion in the first rotational mode of free vibration is invisible from a perspective of an image sensor of the camera.

Abstract: An embodiment proposed herein uses sparsification techniques to train the neural network with a high feature dimension that may yield desirable in-domain detection accuracy but may prune away dimensions in the output that are less important. Specifically, a sparsification vector is generated based on Gaussian distribution (or other probabilistic distribution) and is used to multiply with the higher dimension output to reduce the number of feature dimensions. The pruned output may be then used for the neural network to learn the sparsification vector. In this way, out-of-distribution detection accuracy can be improved.

Abstract: An online system communicates a lead generation message to a client device associated with a user. The lead generation message includes a selectable option authorizing a third-party entity to open a channel of communication with the user. If the online system receives from the client device an interaction with the selectable option, the online system sends a notification to the third-party entity indicating that the user associated with the client device interacted with the lead generation content item. The third-party entity may then send a request to the online system to send a message to the user via a messaging system controlled by the online system. The online system thus enables the third-party entity to communicate with the user via the messaging system. The online system then uses information about the communication to train a model to optimize the selection of lead generation messages to users.

Abstract: Flow through tubular organs (e.g., the esophagus) is analyzed based on fluid mechanics analysis of medical images. Using computational fluid dynamics, a reduced-order model is constructed and implemented to predict flow rate and fluid pressure developed inside flexible tubular organs inside the body. As one non-limiting example, the constructed model can be applied to analyze esophageal transport using fluoroscopy image sequences to predict flow rate, pressure, esophagus wall stiffness, and active relaxation.

Abstract: There is disclosed in one example an enrollment over secure transport (EST)-capable gateway device, including: a hardware platform including a processor and a memory; a first network interface to communicatively couple to an external network, including an external DNS server; a second network interface to communicatively couple to a home network; a caching DNS server including a local DNS cache, and logic to provide DNS services to the home network; and an EST proxy to authenticate to a local endpoint on the home network, provision a DNS server certificate on the local endpoint, provision an authentication domain name (ADN) on the local endpoint, and provide encrypted domain name system (DNS) services to the local endpoint.

Abstract: A method of de-mosaicing pixel data from an image processor includes generating a pixel block that includes a plurality of image pixels. The method also includes determining a first image gradient between a first set of pixels of the pixel block and a second image gradient between a second set of pixels of the pixel block. The method also includes determining a first adaptive threshold value based on intensity of a third set of pixels of the pixel block. The pixels of the third set of pixels are adjacent to one another. The method also includes filtering the pixel block in a vertical, horizontal, or neutral direction based on the first and second image gradients and the first adaptive threshold value utilizing a plurality of FIR filters to generate a plurality of component images.

Abstract: In one embodiment, a device for in vivo tissue evaluation includes an elongated manipulator including an elongated proximal tube and an articulable distal portion, and a sensor provided at a distal end of the articulable distal portion, the sensor including a sensor head configured to be pressed against tissue and measure a reaction force of the tissue.