Abstract: The disclosed subject matter relates generally to display technology, including but not limited to methods and systems for providing knowledge-based media content recommendations, displaying a unified user interface with content-based media recommendations, mixing multiple media content items to be displayed on a focus area, and/or casting controlled media content associated with a network-connected television device. More particularly, the disclosed subject matter relates to displaying a unified user interface having tabbed interfaces in which upcoming media content items from multiple content providers can be displayed in one of the tabbed interfaces.

Abstract: A method of generating structured relation information in an electronic device may include: classifying a first text input received by at least one application installed on the electronic device, into at least one category; extracting, from the first text input, a first entity representing a context of the first text input; generating structured relation information by associating the first entity extracted from the first text input, with a second entity extracted from at least one second text input stored in the electronic device or a server; and displaying the structured relation information on the electronic device.

Abstract: A system trains a predictive model based on training data including records of non-public healthcare insurance claims and public healthcare fee schedule data. The system determines a multiplier for each of multiple healthcare facilities based on the predictive model. The system then receives, from a consumer device, a query for a particular cost estimate of a healthcare service provided by the multiple healthcare facilities. The query includes constraints for a preferred geographic region or a preferred insurer. The system predicts a first cost estimate for the healthcare service at a first healthcare facility based on a first multiplier and a second cost estimate for the healthcare service at a second healthcare facility based on second multiplier. The system then causes the consumer device to display query results including indications of the first and second cost estimates.

Abstract: In one aspect, an example method includes (i) presenting first media content from a first source; (ii) encountering a trigger to switch from presenting the first media content from the first source to presenting second media content from a second source; (iii) determining a first loudness level of the first media content; (iv) determining a second loudness level of the second media content; (v) based on a difference between the first loudness level and the second loudness level, adjusting a loudness level of the second media content so as to generate modified media content having a third loudness level that is different from the second loudness level; and (vi) responsive to encountering the trigger, presenting the modified media content having the third loudness level.

Abstract: The system may be configured to perform operations including receiving a transaction history comprising transaction information associated with a plurality of transactions for an entity; analyzing transaction information associated with a transaction of the plurality of transactions; and detecting a leakage event associated with the transaction. Detecting the leakage event may comprise determining a payment method for the transaction in response to the analyzing the transaction information; and comparing the payment method to a desired payment method, wherein the leakage event is detected in response to the payment method differing from the desired payment method.

Abstract: A method including providing a content catalog for items. The content catalog can include attributes for the items, values associated with the attributes, content provider identifiers of content providers that provided the values, and confidence scores for the values. The method also can include tracking source rankings for the content providers for item categories. The method additionally can include receiving a new value associated with an attribute of the attributes for an item of the items. The new value can be provided by a content provider of the content providers. The method further can include generating a priority score for the new value based on a set of input features associated with the new value and a set of score weightings associated with the set of input features. The set of input features can include (a) a source ranking of the source rankings for the content provider for an item category of the item categories associated with the item and (b) a confidence score for the new value.

Abstract: Frameworks and techniques for integration of heterogeneous machine learning (ML) models into robotic process automation (RPA) workflows are provided. This may be accomplished via a seamless drag-and-drop interface that allows deployment of ML models into an RPA workflow. Via a framework, these heterogeneous models may be provided by customers, third parties, and/or partners and integrated into the RPA workflow. The framework may provide a straightforward way to deploy machine learning models via a conductor and to manage model versioning and create/retrieve/update/delete (CRUD). The framework may facilitate integration of different models into the RPA workflow through the steps of uploading, validating, publishing, and deploying models.

Abstract: A method for selectively etching at least one feature in a first region with respect to a second region of a stack is provided. The first region is selectively etched with respect to the second region to form at least one partial feature in the first region, the at least one partial feature having a depth with respect to a surface of the second region. An in-situ a fluorine-free, non-conformal, carbon-containing mask is deposited over the first region and the second region, wherein the carbon-containing mask is selectively deposited on the second region at a second thickness with respect to the first region at a first thickness, the second thickness being greater than the first thickness. The first region is further etched in-situ to etch the at least one partial feature and wherein the carbon-containing mask acts as an etch mask for the second region.

Abstract: A method for identifying locked-up simulation testbench components during a simulation is disclosed. In some embodiments, the method includes creating, by an initiator simulation testbench component, at least one migrant packet. The method further includes circulating, during a component identification cycle, each of the at least one migrant packet in an associated predefined direction through each of the plurality of simulation testbench components in the associated daisy loop from the at least one daisy loop. The method further includes circulating, during an issue identification cycle, each of the least one migrant packet in the associated predefined direction through each of the plurality of simulation testbench components in the associated daisy loop.

Abstract: An apparatus, related devices and methods, having a memory element operable to store instructions; and a processor operable to execute the instructions, such that the apparatus is configured to identify, on an electronic device, a phone number of an incoming caller device; request, via an out-of-band control channel, a digital certificate for the phone number from the incoming caller device; receive, via the out-of-band control channel, the digital certificate for the phone number from the incoming caller device; determine whether the digital certificate for the phone number is authentic; and indicate, on the electronic device, based on a determination that the digital certificate for the phone number is authentic or not authentic, whether the phone number is authentic or not authentic.

Abstract: Embodiments are in the field of mobile applications and wireless processing, especially of commercial transactions, and more specifically for enhancing the user experience in restaurants even while enhancing the service delivery model efficiency of restaurants. Embodiments include a computer accessible medium for processing commercial transactions, to perform operations that comprise identifying wireless devices and determining their respective locations in a vendor service area, sending an interactive order menu to the identified wireless devices, receiving and displaying order data from the wireless devices, processing the received order data, and accepting a payment for a completed order.

Abstract: A mobile device responds in real time to media content presented on a media device, such as a television. The mobile device captures temporal fragments of audio-video content on its microphone, camera, or both and generates corresponding audio-video query fingerprints. The query fingerprints are transmitted to a search server located remotely or used with a search function on the mobile device for content search and identification. Audio features are extracted and audio signal global onset detection is used for input audio frame alignment. Additional audio feature signatures are generated from local audio frame onsets, audio frame frequency domain entropy, and maximum change in the spectral coefficients. Video frames are analyzed to find a television screen in the frames, and a detected active television quadrilateral is used to generate video fingerprints to be combined with audio fingerprints for more reliable content identification.

Abstract: A method of detecting deviation from an operational state of a rotational device includes receiving, from one or more sensor devices coupled to the rotational device, frequency domain data indicative of vibration data sensed during a sensing period. The method also includes processing the frequency domain data using a trained anomaly detection model to generate an anomaly score for the sensing period and processing the anomaly score using an alert generation model to determine whether to generate an alert.

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: A delivery truck for transporting a vehicle includes a chassis, a tractive element coupled to the chassis, a prime mover configured to drive the tractive element to propel the delivery truck, a bed coupled to the chassis and configured to support the vehicle, and a wireless charging interface coupled to the bed and configured to wirelessly transfer energy to the vehicle.

Abstract: A mobile device responds in real time to media content presented on a media device, such as a television. The mobile device captures temporal fragments of audio-video content on its microphone, camera, or both and generates corresponding audio-video query fingerprints. The query fingerprints are transmitted to a search server located remotely or used with a search function on the mobile device for content search and identification. Audio features are extracted and audio signal global onset detection is used for input audio frame alignment. Additional audio feature signatures are generated from local audio frame onsets, audio frame frequency domain entropy, and maximum change in the spectral coefficients. Video frames are analyzed to find a television screen in the frames, and a detected active television quadrilateral is used to generate video fingerprints to be combined with audio fingerprints for more reliable content identification.

Abstract: A turbomachine engine and gear assembly is provided. The engine includes a first power input component rotatable along a first direction relative to the engine centerline axis, a second power input component rotatable along a second direction relative to the engine centerline axis, a power output component rotatable relative to the engine centerline axis, a static component fixed relative to a circumferential direction relative to a gear assembly centerline axis, and a gear assembly. The gear assembly includes a first rotatable gear operably coupled to the first power input component at a first interface. The first rotatable gear is operably coupled to the static component at a static component interface. The static component interface is configured to react against the first rotatable gear to rotate the first rotatable gear relative to the gear assembly centerline axis. The power output component is operably coupled to the first rotatable gear.

Abstract: A system may include a historical managed software system data store that contains electronic records associated with controllers and deployed workloads (each electronic record may include time series data representing performance metrics). An entropy calculation system, coupled to the historical managed software system data store, may calculate at least one historical entropy value based on information in the historical managed software system data store. A detection engine, coupled to a monitored system currently executing a deployed workload in the cloud computing environment, may collect time series data representing current performance metrics associated with the monitored system. The detection engine may then calculate a current monitored entropy value (based on the collected time series data representing current performance metrics) and (iii) compare the current monitored entropy value with a threshold value (based on the historical entropy value).

Abstract: Systems and methods provide techniques for more effective and efficient predictive monitoring of a software application framework. For example, various embodiments of the present invention provide methods, apparatuses, systems, computing devices, and/or the like that are configured to enable effective and efficient predictive monitoring of a software application framework using alert signatures for the software application that are generated by using at least one of first-order alert classification machine learning models, temporal-sequential alert classification machine learning models, categorical-sequential alert classification machine learning models, alert classification machine learning models, and second-order alert classification machine learning models.

Abstract: Various embodiments include a camera with folded optics and lens shifting capabilities. In some examples, a folded optics arrangement of the camera may include one or more lens elements and light path folding elements (e.g., prisms). Some embodiments include voice coil motor (VCM) actuator arrangements, carrier arrangements, and/or suspension arrangements to provide autofocus (AF) and/or optical image stabilization (OIS) movement. Furthermore, some embodiments include position sensor arrangements for position sensing with respect to AF and/or OIS movement.