Abstract: A computer implemented method includes receiving input from a first collaborator user device to modify a cell in a collaborative spreadsheet being shared with other collaborators and viewable on other collaborator user devices, sending modifications via a real time channel to the other user devices for display of mirror modifications to the cell prior to commitment of the modifications, and providing an identifier of the first collaborative user device for display of a notice that the first user device is associated with the mirror modifications.

Abstract: A computer-implemented method for failure classification of a surface treatment process includes receiving one or more process parameters that influence one or more failure modes of the surface treatment process and receiving sensor data pertaining to measurement of one or more process states pertaining to the surface treatment process. The method includes processing the received one or more process parameters and the sensor data by a machine learning model deployed on an edge computing device controlling the surface treatment process to generate an output indicating, in real-time, a probability of process failure via the one or more failure modes. The machine learning model is trained on a supervised learning regime based on process data and failure classification labels obtained from physics simulations of the surface treatment process in combination with historical data pertaining to the surface treatment process.

Abstract: Audio distortion compensation methods to improve accuracy and efficiency of audio content identification are described. The method is also applicable to speech recognition. Methods to detect the interference from speakers and sources, and distortion to audio from environment and devices, are discussed. Additional methods to detect distortion to the content after performing search and correlation are illustrated. The causes of actual distortion at each client are measured and registered and learnt to generate rules for determining likely distortion and interference sources. The learnt rules are applied at the client, and likely distortions that are detected are compensated or heavily distorted sections are ignored at audio level or signature and feature level based on compute resources available. Further methods to subtract the likely distortions in the query at both audio level and after processing at signature and feature level are described.

Abstract: This disclosure relates to a method and system for real time prediction of tire remaining useful life using a tire digital twin. Herein, the digital twin of the tire monitors a plurality of tires while accounting for runtime as well as parking operation of tires. During runtime, tire goes through multiple operational changes, therefore, the system is configured to estimate the operational changes. The estimation is done in the form of index, which is compared with the manufacturers' recommended value. Similarly, while vehicle is parked, tire still goes through changes which play an important role in its overall health, like, long pending wheel rotation can lead to flat spot. Tire inflation can change owing to cool down effect as well as uncontrolled natural leakages. Further, these parameter indexes are clubbed together to calculate the health index of the tire, which is used to estimate the tire's current remaining useful life.

Abstract: An elevator system control system is provided and includes a sensor system configured to sense elevator car conditions, a safety system signaling element to generate a safety signal indicative of an incident and a control system configured to react to the safety system signal. When the control system receives the safety signal indicating that an incident has occurred that requires engagement of at least one of primary and secondary brakes, the control system controls a deceleration rate during the incident by operating the primary brake, determining whether the deceleration rate is within a target range and adjusting the deceleration rate based on signals from the sensor system.

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: Blockchain-based, smart contract platforms have great promise to remove trust and add transparency to distributed applications. However, this benefit often comes at the cost of greatly reduced privacy. Techniques for implementing a privacy-preserving smart contract is described. The system can keep accounts private while not losing functionality and with only a limited performance overhead. This is achieved by building a confidential and anonymous token on top of a cryptocurrency. Multiple complex applications can also be built using the smart contract system.

Abstract: A method and system for controlling implementation of dynamic content modification. The disclosure provides for using at least one steganographically-encoded timestamp in a media stream transmitted to a media client as a basis to determine a transmission delay for media-stream transmission to the media client, and for providing the determined transmission delay as a basis to facilitate control over whether to have the media client implement dynamic content modification. In addition, the disclosure provides for receiving respectively from each of various media clients a report indicating transmission delay determined for the media client based on such steganographically-encoded timestamp data, and using the transmission delays for the media clients to establish a dynamic-content-modification footprint that could be used to control whether, where, and to what extent dynamic content modification will be applied.

Abstract: A method for managing memory for applications in a computing system includes receiving a selection of a preferred application. During user-controlled operation over the application, the transitions of selected application between foreground and background are monitored. A retention of the application in memory is triggered upon a transition of the application to background during the user operation. Retention of the application includes compressing memory portions of the application. Accordingly, the application is retained within the memory based on said compressed memory portions. A requirement to restore the retained application is sensed based on either a user selection or an automatically generated prediction and the application is restored from the retained state back to the foreground.

Abstract: Systems, methods, and apparatuses can detect whether an impairment is present within a service provider network. The impairment can cause a service provided by the service provider network to not perform as expected. These systems, methods, and apparatuses can develop multiple network records to record the performance of the service provider network at various instances in time. These systems, methods, and apparatuses can compare these network records among each other to detect for the presence of the impairment within the service provider network. These systems, methods, and apparatuses can thereafter diagnose and/or remedy the impairment when present within the service provider network.

Abstract: Embodiments may facilitate data analytics for a cloud computing environment. A plurality of system tables may store system metadata that associates a first materialized view with a first view and a first table. A transaction compute unit may process an update request relevant to the first view. A query parser may capture the update request from the transaction compute unit and detect which system tables are associated with the update request relevant to the first view. Responsive to the request, the query processor arranges for first table data to be replicated and transmit a materialized view request to a materialized view compute unit. The materialized view compute unit may be created as a Materialized View-as-a-Service (“MVaaS”) independent of the transaction compute unit. The materialized view compute unit may receive the materialized view request, refresh the first materialized view, compute the first materialized view, and store a result of the computation.

Abstract: Systems and methods include receiving a trained machine learning model that has been processed with training information removed therefrom, wherein the training information is utilized in training of the trained machine learning model; monitoring traffic, inline at the node, including processing the traffic with the trained machine learning model; obtaining a verdict on the traffic based on the trained machine learning model; and performing an action on the traffic based on the verdict.

Abstract: The present methods use gene therapy to confer inducible nitric oxide synthase (iNOS) expression solely in the tumor space, using focused ultrasound targeting. NOS catalyzes the reaction that generates nitric oxide (NO), a potent endogenous vasodilator. Microbubble-mediated non-viral delivery overcomes major barriers associated with non-viral NO gene therapy. The methods increase tumor perfusion and compound the efficacy of a vast array of chemotherapy, radiotherapy, and immune-based treatments.

Abstract: Aspects of the disclosure relate to dynamic model configuration and execution. A computing platform may receive first model data comprising first model execution configuration data and first model output configuration data. The computing platform may generate a first model based on the first model execution configuration data. The computing platform may distribute, to a plurality of computing platforms, the first model, the first model execution configuration data, and the first model output configuration data. The computing platform may receive a second request to execute one or more models from a third computing platform. The computing platform may receive, from the third computing platform, first model execution data. The computing platform may execute the first model based on the first model execution data and the first model execution configuration data to generate a first model output score.

Abstract: Methods and systems for electrically powering liquid-contacting components of a beverage machine using a non-isolated power supply.

Abstract: A processor includes a time counter and issuing instruction and executing instruction at a future time which is based on the time counter. The execution times are based on fixed latency times of instructions with exception of the load instruction which is based on the data cache hit latency time. A data cache miss causes the load instruction to fetch data from the level 2 cache wherein a time tracker unit adjusts the level 2 cache latency time based on a counter.

Abstract: A method including tracking a dynamic source ranking for a content provider separately by item categories of items of a content catalog. The method also can include receiving a new value to be associated with an attribute in an attribute-value pair for an item of the items. The new value can be provided by the content provider. The method additionally can include generating a priority score for the new value based on input features comprising the dynamic source ranking for the content provider for an item category of the item categories in which the item is classified, a confidence score for the new value, and an offer status of the new value. A first weighting associated with the dynamic source ranking and a second weighting associated with the confidence score are each greater than a third weighting associated with the offer status.

Abstract: Multiple windows can be simultaneously shared via a collaboration application. A multiple window sharing controller can be employed on an end user device to enable the user to create an aggregated window that includes windows of multiple applications running on the end user device. The multiple window sharing controller can cause this aggregated window to appear as an active window on the end user device. Therefore, when a collaboration application presents windows that the user can select to be shared during a meeting, the aggregated window will be included.

Abstract: A method, computer program, and computer system are provided for data facet generation. Data associated with a dataset is received. The received data includes one or more data entries having one or more elements. The one or more elements are associated with one or more data types. One or more data facets are generated for each of the data entries with the received data based on the associated data type. One or more transformations are generated for the data facet corresponding to a machine learning task associated with the dataset. A recommendation is provided to a user based on the generated transformation. The provided recommendation includes generated computer code corresponding to an optimal transformation associated with the machine learning task.

Abstract: A method for processing RGB-Infrared (RGB-IR) sensor data is provided that includes receiving a raw RGB-IR image, determining whether to process the raw RGB-IR image in day mode or night mode, generating, when day mode is determined, an infrared (IR) subtracted raw Bayer image from the raw RGB-IR image and processing the IR subtracted raw Bayer image in an image signal processor (ISP), and generating, when night mode is determined, an IR image from the raw RGB-IR image.