Abstract: Systems and methods are disclosed herein for classifying, based on most recent information associated with recorded content, the recorded content to an appropriate deletion classifier. A media guidance application may receive information about an event that is associated with a recorded media asset. The media guidance application may determine, based on the event and a current deletion classifier associated with the recorded media asset, whether the current deletion classifier associated with the recorded media asset needs to be updated to a new deletion classifier. The media guidance application may make this determination by accessing a deletion classification database containing rules for classifying recorded media assets into a variety of deletion classifiers.

Abstract: A threat actor identification system that obtains domain data for a set of domains, generates domain clusters, determines whether the domain clusters are associated with threat actors, and presents domain data for the clusters that are associated with threat actors to brand owners that are associated with the threat actors. The clusters may be generated based on similarities in web page content, domain registration information, and/or domain infrastructure information. For each cluster, a clustering engine determines whether the cluster is associated with a threat actor, and for clusters that are associated with threat actors, corresponding domain information is stored for presentation to brand owners to whom the threat actor poses a threat.

Abstract: An autonomous earth moving system can determine a desired state for a portion of the EMV including at least one control surface. Then the EMV selects a set of control signals for moving the portion of the EMV from the current state to the desired state using a machine learning model trained to generate control signals for moving the portion of the EMV to the desired state based on the current state. After the EMV executes the selected set of control signals, the system measures an updated state of the portion of the EMV. In some cases, this updated state of the EMV is used to iteratively update the machine learning model using an online learning process.

Abstract: Execution status of managed time series processing tasks may be tracked. Status of a time series processing task that operations on different portions of a time series may be respectively captured. A request for the status of one of the portions of the time series with respect to the time series processing task may be received. The status may be identified and returned. For failed tasks, a failure reason may be generated by the time series processing system and included in a response with a failure status.

Abstract: A system and method for data analysis and presentation of data are provided. The system for data analysis and presentation of data includes a memory configured to receive a plurality of data sets. The system also includes a processing subsystem operatively coupled to the memory and configured to determine a plurality of properties of the plurality of data sets, to analyse a categorical variable of the plurality of data sets based on the plurality of properties of the plurality of the plurality of data sets, to identify one or more custom rules based on an analysed categorical variable, to interpret the identified one or more custom rules, to identify a graph based on one or more custom rules, to identify one or more textual insights based on one or more custom rules and the identified graph, to present the identified graph and one or more textual insights.

Abstract: A device obtains configuration parameters for multiple network elements of a network and receives first scores that assess a level of efficiency and a level of isolation for each of the multiple network elements. The device identifies a network element of the multiple network elements for modifying the identified network element's configuration based on the obtained configuration parameters and the received first scores.

Abstract: A tremor suppression device includes a garment wearable on an anatomical region and including electrodes contacting the anatomical region when the garment is worn on the anatomical region, and an electronic controller configured to: detect electromyography (EMG) signals as a function of anatomical location and time using the electrodes; identify tremors as a function of anatomical location and time based on the EMG signals; and apply neuromuscular electrical stimulation (NMES) at one or more anatomical locations as a function of time using the electrodes to suppress the identified tremors.

Abstract: In an embodiment, a method includes receiving, by a processor and from a user device associated with a user, a request to access a service associated with a first protocol. The method further includes receiving, by the processor, a virtual credential of the user authorized by an authorizing entity. The virtual credential is compliant with a second protocol different than the first protocol. The method further includes verifying, by the processor, that the virtual credential is authorized by the authorizing entity. The method further includes transforming, by the processor, the virtual credential to generate a transformed virtual credential compliant with the first protocol. The method further includes sending, by the processor, a representation of the transformed virtual credential to the service. The method further includes verifying, by the processor and after the sending, that the transformed virtual credential is valid.

Abstract: A method and/or system for Artificial Intelligence assisted service catalogue generation for network service provisioning is disclosed. The method comprising receiving input data which comprises either or combination of one or more specification documents or one or more configuration changes in network functions and/or network components. The entities and attributes of the entities are extracted from the input data which are then reconciled with graph database representing network function model to determine modifications in the input data. The graph database is updated based on the modifications identified in the input data, and recommendations comprising model elements are generated using AI engines which are displayed at the service modeler interface for generation of the service catalogue for network service provisioning.

Abstract: An online system provides users with a vehicle selection interface to select vehicles available on the online system. The vehicle selection interface may include vehicle user interface elements that display information about individual vehicles available on the online system. The vehicle selection interface may display a set of vehicle user interface elements for the user to select. The vehicle selection interface may further include a vehicle availability element. A vehicle availability element describes availability of vehicles in a set of categories. For example, the vehicle availability element may describe the availability of vehicles within different price ranges. The vehicle availability element may indicate trends in vehicle availability on the online system within each category of vehicle. For example, the vehicle availability element may indicate that vehicle availability in a category is likely to decrease based on predictions of increased user selections of vehicles in that category.

Abstract: The present invention includes a method of predicting and/or treating a recurrence of MS treating a patient with multiple sclerosis, the method comprising: obtaining a hematopoietic cell sample from a patient suspected of having a recurrence of multiple sclerosis (MS), wherein the patient was in relapse for MS; determining the number of CD19+, CD24+, CD38+ transitional B cells in the hematopoietic cell sample, and a level of expression of neurofilament light (NFL) and interleukin-1? (IL-1?), which is predictive of a recurrence of MS; and treating the MS patient with recurrence until there is an increase in CD19+, CD24+, CD38+ transitional B cells and/or a decrease in a level of expression of NFL and interleukin-1? (IL-1?) when compared to an untreated MS control sample, an unresponsive MS control sample, or an MS patient with long-term stable disease sample.

Abstract: A method generates a delayed signal based on an input signal, and applies vector magnitude scaling to the delayed signal, generating one or more vector magnitude scaled signals. The input signal is added to the one or more vector magnitude scaled signals, generating one or more phase-shifted signals. Compensation scaling is applied to the one or more phase-shifted signals, generating one or more compensated signals. The input signal and the one or more compensated signals are combined, generating an interpolated output signal. The method may be implemented by a device or a system.

Abstract: Touch responsive displays that may be integrated into a wide variety of non-transparent, non-glass surfaces to provide on-demand human computer interfaces that blend with the environment, i.e., remain invisible unless activated, effectively adding digital user interfaces (UI) to non-technology products and surfaces. The interactive display devices are frameless assemblies of a sensor layer, a light layer, and a support layer housing a microcontroller, wherein the device is configured to be positioned beneath a non-transparent surface layer with the sensor layer arranged below the surface layer.

Abstract: A method includes receiving a pressure signal from a pressure sensor and/or a flow signal from a flow sensor and receiving signals from one or more sensors that measure different physiological parameters from the pressure sensor and the flow sensor. The method includes detecting the onset of the spontaneous breath by the patient based on the pressure signal and/or the flow signal and synchronizing providing breathing support to the patient with the onset of the spontaneous breath detected utilizing the pressure signal and/or the flow signal. The method includes calibrating parameters and thresholds to be utilized in detecting the onset of the spontaneous breath based on the signals. The method includes after calibration, switching to: detecting the onset of the spontaneous breath by the patient based on the signals and synchronizing providing breathing support to the patient with the onset of the spontaneous breath detected utilizing the signals.

Abstract: Systems and methods for treating an aneurysm in accordance with embodiments of the present technology include intravascularly delivering an occlusive member to an aneurysm cavity and deforming a shape of the occlusive member via introduction of an embolic element to a space between the occlusive member and an inner surface of the aneurysm wall.

Abstract: An example method of cursor seek operations using deleted record spans in memory sub-systems comprises: receiving, by a processing device, a request to search for a first data element of a key-value data store, the request specifying a first key associated with the first data element; determining that the first key is within a range of deleted data elements comprising a plurality of deleted data elements of the key-value data store; identifying a tail key associated with a tail element of the range of deleted data elements; identifying a second data element in the key-value data store, wherein the second data element is associated with a second key that follows the tail key in a specified order of keys; and providing the second data element in response to the request.

Abstract: Techniques are provided for synchronous replication for synchronous mirror copy guarantee. A file system dependent technique for synchronous mirror copy guarantee is provided by overriding default behavior of a persistent fence so that the persistent fence is activated to block operations targeting a storage object having a synchronous replication relationship based upon the synchronous replication relationship being out of sync. The default behavior of the persistent fence is overridden to allow operations to be executed upon the storage object based upon the synchronous replication relationship being in sync. A file system independent technique for synchronous mirror copy guarantee is provided by intercepting operations before the operations are received by a file system. The operations are selectively forwarded to the file system or not based upon a state of a synchronous replication relationship.

Abstract: A neural network is configured to suppress an output of a mitigation node in a mitigation layer of the neural network. The neural network is pre-configured to recognize objects from inputs when operating using a processor and a memory. An actual input is sent to the neural network for object recognition, the actual input is an altered input. By suppressing the output of the mitigation node, the neural network is caused to avoid falsely recognizing an object from the actual input, where the altered input is configured to cause the neural network to falsely recognize the object from the actual input.

Abstract: Introduced here are approaches to determining causal relationships in mixed datasets containing data related to continuous variables and discrete variables. To accomplish this, a marketing insight and intelligence platform may employ a multi-phase approach in which dependency is established before the data related to continuous variables is discretized. Such an approach ensures that information regarding dependence is not lost through discretization.

Abstract: When an EMV performs an action comprising moving a tool of the EMV through soil or other material, the EMV can measure a current speed of the tool through the material and a current kinematic pressure exerted on the tool by the material. Using the measured current speed and kinematic pressure, the EMV system can use a machine learned model to determine one or more soil parameters of the material. The EMV can then make decisions based on the soil parameters, such as by selecting a tool speed for the EMV based on the determined soil parameters.