Abstract: A system and method for modifying a system's execution logic without changing the code. The system and method can involve receiving a request for execution, fetching an instruction set that corresponds to the request, parsing the instruction set, extracting metadata from the request, loading data for the instruction set based on the request, and executing each instruction based on the loaded data.

Abstract: Disclosed are various embodiments for managing deployment model migrations for enrolled devices. A client application can transmit a capability status to a management service in an instance in which a plurality of device conditions of the client device are validated. The client application can obtain and execute instructions that cause the client application to manage a migration of the client device from a first configuration to a second configuration. A user interface can be pinned on a display of the client device in an instance in which an enterprise environment endpoint is identified and a migration interface on the client device executed. The client application can transmit samples of device conditions of the second configuration of the client device to the management service.

Abstract: An intelligent clustering system has a dual-mode clustering engine for mass-processing and stream-processing. A tree data model is utilized to describe heterogenous data elements in an accurate and uniform way and to calculate a tree distance between each data element and a cluster representative. The clustering engine performs element clustering, through sequential or parallel stages, to cluster the data elements based at least in part on calculated tree distances and parameter values reflecting user-provided domain knowledge on a given objective. The initial clusters thus generated are fine-tuned by undergoing an iterative self-tuning process, which continues when new data is streamed from data source(s). The clustering engine incorporates stage-specific domain knowledge through stage-specific configurations. This hybrid approach combines strengths of user domain knowledge and machine learning power.

Abstract: Aspects of the present disclosure provide a method generally including obtaining one or more built-in self-test (BIST) patterns, each pattern including a series of instructions, applying a compression scheme to generate one or more compressed BIST patterns, wherein the compression scheme encodes an operation and data field of instructions to generate encoded instructions, each encoded instruction having an identifier (ID) field and a variable number of data bytes, wherein the ID field identifies a type of the operation and indicates the variable number of data bytes, and storing the compressed BIST patterns.

Abstract: A plurality of tickets can be received. A pattern pertaining to an issue with an application can be determined by at least one artificial neural network. The pattern can be indicated among at least a portion of the plurality of tickets. The portion of the plurality of tickets can be grouped into a group comprising a primary ticket and at least one secondary ticket. Automation steps can be accessed from a database. The automation steps can be implemented to resolve the issue for the primary ticket. Responsive to the resolving the issue by implementing the automation steps from the database for the primary ticket, the secondary ticket can be closed.

Abstract: The present disclosure is directed to systems and methods of providing content. A server can generate a request for a push content item for an account identifier linked with a computing device. The server can establish a push auction for the account identifier with multiple candidate push content items. The server can determine an auction score for each candidate push content item and select a push content item therefrom based on the auction score. The server can determine a parameter for the account identifier and control delivery of the selected push content item based on a delivery control policy. The server can compare a value of the parameter with a threshold value to authorize the push content item. The server can provide the selected and authorized push content item for presentation in a push content slot via the computing device linked to the account identifier.

Abstract: Tracing circuits are disposed within each node circuit in a mesh network to debug problems found during development. The tracing circuit disclosed includes a trace read interface for accessing trace packets stored in a trace buffer at entries that are mapped to system memory addresses. Processing circuits coupled to the trace read interface may access the stored trace packets using memory instructions. The trace packets include trace information generated from packets that are detected on selected ports of a node circuit in a node of the mesh network. A filter circuit compares the transaction units to a trace criteria and stores the trace information of the matching packets in the form of trace packets in the memory-mapped entries of the trace buffer. The trace packets can include the transaction units of a packet or just packet header information for more efficient use of the trace buffer.

Abstract: As described herein, a system, method, and computer program are provided for synthesizing user transactional data for de-identifying sensitive information. In use, transactional data of a plurality of users is identified. Additionally, the plurality of users are clustered based on the transactional data, to form groups of users having transactional data representing similar transactional behavior. Further, synthesized transactional data is generated for the users in each group by: identifying a subset of the transactional data that corresponds to the users in each group, shuffling the transactional data in the subset across the users in each group, and perturbing portions of the shuffled transactional data.

Abstract: A medical treatment device is disclosed herein. In one example, the medical treatment device includes a core assembly which has a first conduct and a second conductor. An insulative material can surround the second conductor and define an electrode portion of the second conductor that is uncovered by the insulative material. The medical treatment device can include an interventional element that electrical couples to the first conductor. The electrode portion of the second conductor can be disposed radially adjacent to or distal of the interventional element.

Abstract: Example implementations relate to a method of dynamically updating a transport task of a UAV. The method includes receiving, at a transport-provider computing system, an item provider request for transportation of a plurality of packages from a loading location at a given future time. The method also includes assigning, by the transport-provider computing system, a respective transport task to each of a plurality of UAVs, where the respective transport task comprises an instruction to deploy to the loading location to pick up one or more of the plurality of packages. Further, the method includes identifying, by the transport-provider system, a first package while or after a first UAV picks up the first package. Yet further, the method includes based on the identifying of the first package, providing, by the transport-provider system, a task update to the first UAV to update the respective transport task of the first UAV.

Abstract: A trailer angle identification system includes an imaging device configured to capture an image. A controller is configured to receive steering angle data corresponding to a steering angle of a vehicle, receive vehicle speed data corresponding to a vehicle speed, and estimate an angle of the trailer relative to the vehicle by processing the image, the steering angle data, and the vehicle speed data in at least one neural network.

Abstract: In some implementations, the EMV uses a calibration to inform autonomous control over the EMV. To calibrate an EMV, the system first selects a calibration action comprising a control signal for actuating a control surface of the EMV. Then, using a calibration model comprising a machine learning model trained based on one or more previous calibration actions taken by the EMV, the system predicts a response of the control surface to the control signal of the calibration action. After the EMV executes the control signal to perform the calibration action, the EMV system monitors the actual response of the control signal and uses that to update the calibration model based on a comparison between the predicted and monitored states of the control surface.

Abstract: An image can be input to a deep neural network to determine a point in the image based on a center of a Gaussian heatmap corresponding to an object included in the image. The deep neural network can determine an object descriptor corresponding to the object and include the object descriptor in an object vector attached to the point. The deep neural network can determine object parameters including a three-dimensional location of the object in global coordinates and predicted pixel offsets of the object. The object parameters can be included in the object vector, and the deep neural network can predict a future location of the object in global coordinates based on the point and the object vector.

Abstract: A method for workload-driven index selections includes receiving a request for a recommended index configuration. The method includes obtaining a plurality of queries executed at the database. The method also includes selecting a set of candidate indexes from the plurality of indexes. The method includes for each respective candidate index of the set of candidate indexes, determining, based on the plurality of queries, a respective workload cost for the respective candidate index. The method also includes selecting, based on the respective workload cost, a first candidate index from the set of candidate indexes for the recommended index configuration. The method includes selecting one or more additional candidate indexes from the set of candidate indexes for the recommended index configuration. The method includes determining that a size of the selected candidate indexes satisfies a size threshold and transmitting the recommended index configuration.

Abstract: A computer-implemented method of learning a policy for an agent. The method includes: receiving an initialized first neural network, in particular a Q-functionor value-function, an initialized second neural network, auxiliary parameters, and the initialized policy; repeating the following steps until a termination condition is fulfilled: sampling a plurality of pairs of states, actions, rewards and new states from a storage. Sampling actions for the current states, and actions for the new sampled states; computing features from a penultimate layer of the first neural network based on the sampled states and actions and updating the second neural network and the auxiliary parameters as well as updating parameters the first neural network using a re-weighted loss.

Abstract: A data management system (DMS) may facilitate the storage tiering of snapshots on cloud environments. For example, the DMS may transmit snapshot signaling to a first cloud environment that instructs the first cloud environment to capture a first snapshot of a computing object and to store the first snapshot in a first type of cloud storage at the first cloud environment. The DMS may determine that the first snapshot has been stored in the first type of cloud storage for a duration of time that satisfies an archival threshold. Based on the archival threshold being satisfied, the DMS may transmit archival signaling that instructs the first cloud environment to store the first snapshot to a second type of cloud storage. The second type of cloud storage may be associated with a longer access latency than the first type of cloud storage.

Abstract: A device and method are provided for providing a function related to a camera in an electronic device. A method includes acquiring, via a first camera of the electronic device, a plurality of first images; acquiring, via a second camera of the electronic device, one or more second images; generating a plurality of image contents based on at least one of the plurality of first images or the one or more second images; and outputting the plurality of image contents at respective regions of a display of the electronic device.

Abstract: Aspects of the disclosure relate to detecting random and/or algorithmically-generated character sequences in domain names. A computing platform may train a machine learning model based on a set of semantically-meaningful words. Subsequently, the computing platform may receive a seed string and a set of domains to be analyzed in connection with the seed string. Based on the machine learning model, the computing platform may apply a classification algorithm to the seed string and the set of domains, where applying the classification algorithm to the seed string and the set of domains produces a classification result. Thereafter, the computing platform may store the classification result.

Abstract: The present technology includes semiconductor devices and methods with improved contact resistivity. Semiconductor devices include a substrate base, a silicon oxide disposed on the base defining one or more features, a bi-metallic silicide layer disposed on the substrate in the one or more features, and at least a first metal layer. The bi-metallic silicide layer includes a first metal, a second metal different than the first metal, and a silicon containing compound, and includes greater than or about 0.8 E+14 per cm?2 second metal atoms. The first metal layer includes the first metal and overlies the bi-metallic silicide layer.

Abstract: Described herein are systems, methods, and software to manage prefixes for a route table in a gateway according to an implementation. In one implementation, a management service monitors a quantity of prefix routes associated with a route table in a gateway and determines when the quantity satisfies one or more criteria. When the capacity satisfies the one or more criteria, the management service determines one or more supernets that each represent a subset of the prefix routes and adds the one or more supernets to the route table to replaces the subset of the prefix routes.