Abstract: A device having: memory cells configured to store a set of first parameters as an input for an operation of multiplication and accumulation; digital to analog converters; an analog section of the operation of multiplication and accumulation; analog to digital converters; and a controller configured to analyze the set of first parameters to identify an encoding parameter for reduced energy consumption in processing the input. The device generates, using the digital to analog converters and according to the set of first parameters, analog inputs to the analog section of the operation of multiplication and accumulation. The analog section generates analog outputs responsive to the analog input. The device determines, using the analog to digital converters and according to the encoding parameter and the analog outputs, a set of second parameters as an output responsive to the input for the operation of multiplication and accumulation.

Abstract: Described is a system (and method) for efficient metadata verification when leveraging multi-streams as part of data deduplication system. The system may efficiently perform metadata integrity verification by dynamically invoking multi-streaming to leverage parallelization for metadata verification. Accordingly, the system may better utilize bandwidth and processing capabilities to reduce verification time.

Abstract: A system to provide a risk relationship transaction automation tool via a back-end application computer server of an enterprise. The system may include a risk relationship data store that contains electronic records representing transactions associated with requested resource allocations between the enterprise and a plurality of entities. The server may receive an indication of a selected requested resource allocation transaction and retrieve, from the risk relationship data store, the electronic record associated with the selected requested resource allocation transaction. The server may then execute a medical code decision model. According to some embodiments, the system may also support a graphical interactive user interface display via a distributed communication network, the interactive user interface display providing resource allocation transaction data.

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: 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.

Abstract: Systems, methods, models, and training data for models are discussed, for determining vehicle positioning, and in particular identifying tailgating. Simulated training images showing vehicles following other vehicles, under various conditions, are generated using a virtual environment. Models are trained to determine following distance between two vehicles. Trained models are used to in detection of tailgating, based on determined distance between two vehicles. Results of tailgating are output to warn a driver, or to provide a report on driver behavior.

Abstract: Systems, methods, and apparatuses disclosed herein can receive an inquiry from a subscriber of a service that describes a symptom of an impairment within the service provider network that is being experienced by the subscriber which is causing the service to not perform as expected. These systems, methods, and apparatuses can identify a symptom indicator from among multiple symptom indicators that corresponds, or most closely corresponds, to the symptom that is described by the subscriber. Thereafter, these systems, methods, and apparatuses can identify a remediation action from among multiple remediation actions that corresponds to the symptom indicator. In some situations, these systems, methods, and apparatuses can perform the remediation action to diagnose and/or to remedy the impairment within the service provider network.

Abstract: A pair of smart glasses having: a digital camera configured to capture an image of a field of view; and a processing device configured to perform an analysis of the image using an artificial neural network having weight data. The processing device can apply different quantization levels to data from different regions of the image, and apply the different quantization levels to the weight data in weighing on the data from the different regions respectively. For example, weighing image data from a peripheral region of the image with the weight data can be performed with a lower level of accuracy than weighing image data from a center region of the image with the weight data to reduce energy consumption. Based on an output of the artificial neural network responsive to the image, the glasses can present virtual content superimposed on a view of reality seen through the glasses.

Abstract: A data processing system implements receiving textual content from a first application on a first client device associated with a first user for analysis by a context adaptive writing assistant configured to provide suggestions for improving the textual content, obtaining contextual information indicative of a level of formality of the textual content; and categorizing the textual content as being associated with a first level of formality selected from a plurality of levels of formality. The system is further implements analyzing the textual content to identify one or more suggested improvements to the textual content; selecting a subset of suggested improvements from the one or more suggested improvements to the textual content to the first user based on the first level of formality associated with the textual content; sending the subset of suggested improvements to the first client device; and causing the first client device to display the subset of suggested improvements.

Abstract: Some embodiments include a camera voice coil motor (VCM) actuator configured to shift a lens and/or an image sensor along multiple axes. The VCM actuator may include a bottom flexure and a top flexure that connect one or more dynamic members to one or more static members. The VCM actuator may include stationary magnets and coils held by dynamic members. In some cases, the VCM actuator may be configured to move the image sensor along an optical axis, to move the image sensor in directions orthogonal to the optical axis, and/or to tilt the image sensor relative to the orthogonal axis. In some examples, the VCM actuator may be configured to move the image sensor in directions orthogonal to the optical axis, to move the lens along the optical axis, and/or to tilt the lens relative to the optical axis.

Abstract: Techniques for extended network configuration conversion and reconfiguration are described. A network controller proceeds through a set of extended network nodes in an extended network and reconfigures ports in at the various nodes from a first configuration to a second configuration while preventing network traffic looping and maintaining data and management traffic connection to the nodes during the reconfiguration.

Abstract: There is disclosed in an example a gateway device, including a hardware computing platform, and a secure domain name system (DNS) engine having circuitry and stored instructions to-program the circuitry, the secure DNS engine to communicatively couple to an endpoint via a local network, begin a secure DNS transaction with the endpoint, determine whether the endpoint supports delegated credentials, and after determining that the endpoint supports delegated credentials, establish a secure DNS session with the endpoint using a delegated credential.

Abstract: Systems and methods for constructing and managing a unique road sign knowledge graph across various countries and regions is disclosed. The system utilizes machine learning methods to assist humans when comparing a new sign template with a plurality of stored sign templates to reduce or eliminate redundancy in the road sign knowledge graph. Such a machine learning method and system is also used in providing visual attributes of road signs such as sign shapes, colors, symbols, and the like. If the machine learning determines that the input road sign template is not found in the road sign knowledge graph, the input sign template can be added to the road sign knowledge graph. The road sign knowledge graph can be maintained to add signs templates that are not already in the knowledge graph but are found in real-world by integrating human annotator's feedback during ground truth generation for machine learning.

Abstract: Described is a system (and method) for efficient metadata verification when leveraging multi-streams as part of data deduplication system. The system may efficiently perform metadata integrity verification by dynamically invoking multi-streaming to leverage parallelization for metadata verification. Accordingly, the system may better utilize bandwidth and processing capabilities to reduce verification time.

Abstract: A system includes a non-transitory computer-readable storage medium. The non-transitory computer-readable storage medium has instructions stored thereon that, upon execution by a processor of a portable user device, cause the processor to acquire data from a reader of the portable user device regarding an identifier on a machine, perform a verification process to verify that a user of the portable user device has access to the machine based on the identifier, wirelessly connect the portable user device to the machine in response to the user being verified to access the machine, display a control interface for the machine on a user interface of the portable user device, receive a user input through the control interface regarding operation of a controllable component of the machine, and provide a command to the machine based on the user input to facilitate remote operation of the controllable component of the machine.

Abstract: A method for controlling a dual fuel engine system includes determining a gas flow target for an internal combustion engine of the dual fuel engine system, where the gas flow target is based on a gas power target of the internal combustion engine, a thermal efficiency estimate of the internal combustion engine, and a lower heating value (LHV) within the internal combustion engine. The method also includes adjusting the gas flow target based on at least one of a measured gas temperature or a measured gas injector pressure and determining at least one base gas injector command based on the adjusted gas flow target, a gas substitution rate estimate, and a gas substitution rate target. The method further includes determining, based on the at least one base gas injector command, a gas injector command for at least one engine bank.

Abstract: According to various embodiments, a solution including methods, systems, and computer program products is provided for assessing environmental context around an individual taking an assessment. In various embodiments, a method of assessing an individual is provided. A plurality of signals, each signal from one sensor of a plurality of sensors, are received. Each signal may be associated with a modality of assessment. Each of the plurality of signals may be processed with an individualized signal processing module. A plurality of features, each from one of the processed plurality of signals, may be extracted. The plurality of features may be aggregated into a machine learning input with a feature processing module. The machine learning input may be provided to a machine learning algorithm. That environmental interference is occurring may be inferred based on the output of the machine learning algorithm.

Abstract: Systems, methods, and other embodiments associated with a dynamic cache manager are described. In one embodiment, a method includes monitoring, by the cache manager, queries that are submitted for execution to a database system. For a given monitored query, parsing the monitored query to identify one or more query heuristics and determine whether the one or more query heuristics matches one or more trigger heuristics from a set of query predictions, wherein the set of query predictions are predicted by a machine learning model. The cache manager prefetches query results corresponding to a predicted query pattern and stores the prefetched query results in a cache.

Abstract: A system and method for collaborative smart evidence gathering and investigation for incident response attack surface management and forensics in a computing environment is disclosed. The system obtains evidence data from multiple sources with various entry points, capturing contextual information. Further, the system processes the data using an artificial intelligence (AI) root cause analysis, graph augmented retrieval, semantic classifier, meaning extraction, and causal discovery model. Furthermore, the system performs similarity analysis to assess evidence quality, sufficiency, and completeness. Based on the evaluation, the system determines appropriate actions to be taken on the processed evidence data. Additionally, the system executes the actions to resolve the incidents effectively by using a smart expert system, a human agent participation, or an AI co-pilot, as a first-class investigator and collaborator in the process.

Abstract: In one embodiment, an AR/VR system includes a social-networking application installed on the AR/VR system, which allows a user to access on online social network, including communicating with the user's social connections and interacting with content objects on the online social network. The AR/VR system also includes an AR/VR application, which allows the user to interact with an AR/VR platform by providing user input to the AR/VR application via various modalities. Based on the user input, the AR/VR platform generates responses and sends the generated responses to the AR/VR application, which then presents the responses to the user at the AR/VR system via various modalities.