Abstract: In some implementations, a network device may receive an indication of a next-next-hop of the network device and link quality information of the next-next-hop. The network device may transmit network traffic based on the indication of the next-next-hop and the link quality information of the next-next-hop.

Abstract: Various aspects of a system and method for driving assistance along a path are disclosed herein. In accordance with an embodiment, a unique identifier is received from a communication device at an electronic control unit (ECU) of a first vehicle. The unique identifier is received when the first vehicle has reached a first location along a first portion of the path. A communication channel is established between the first vehicle and the communication device based on the received unique identifier. Data associated with a second portion of the path is received by the ECU from the communication device based on the established communication channel. Alert information associated with the second portion of the path is generated by the ECU based on the received data.

Abstract: A method includes generating a first shortest path tree for traffic routing in a network, the first shortest path tree identifying a corresponding shortest path from the network node to other nodes in the network and generating a second shortest path tree for traffic routing after removing an element from the network. The second shortest path tree identifies a corresponding shortest path from the network node to the other nodes in the network with the element removed. A third shortest path tree is generated, which is a weighted version of the second shortest path tree with a weight value added to any node or link in the network sharing a SRLG value with the element removed from the network. Network traffic is enforced based on a comparison of the third shortest path tree with at least one of the first shortest path tree and the second shortest path tree.

Abstract: A building management system, such as a small or medium business, having one or more control devices. Assigning codes to devices, and reading and listing them may aid in configuring the devices. Templates may be used for dynamic configuration of devices and equipment. Representing terminal assignments and wiring diagrams of control devices may be intuitive in that they resemble real hardware for ease of complete installation. The present system and approach may provide an intuitive way of securely registering devices with cloud usage, for example, involving a mobile phone with no manual entry of data so that a user can complete this process with ease. An intuitive, automatic and asynchronous device configuration downloading may be seen, such as to multiple control devices in a single shot. There may be seamless configuration data synchronization, for example, in view of replacement devices, or so the latest data is readily available.

Abstract: A method of measuring a quantity or characteristic of a qualified air, e.g., clean air or prefiltered air, present in an environment, e.g., a chamber or a cleanroom, includes freely placing a measurement apparatus with an open multipass cell in the environment, and allowing a qualified air, such as clean air or prefiltered air, present in the environment to move freely into and out of an optical cavity of the open multipass cell. The method further includes obtaining a measurement of a quantity or a characteristic based on the qualified air in the optical cavity.

Abstract: Embodiments of the present disclosure include techniques for determining faults across multiple software applications. In one embodiment, a configuration table is loaded with information specifying relationships between software applications. Fault events from the software applications are received and stored in a fault log database. A query is received pertaining to a fault in one of the applications, and the information in the configuration table is used to determine details about faults in other software applications related to the fault specified in the query. The other software systems are accessed to retrieve fault information, and a fault relationship table is populated providing more insight into relationships between faults across the applications.

Abstract: An embodiment establishes a unified conferencing protocol (UCP). The embodiment establishes a UCP mediator wherein the UCP mediator is configured to establish a connection between two or more video conferencing platforms. The embodiment receives, via the UCP mediator, a request to communicate with a first video conferencing platform from a second video conferencing platform. The embodiment approves, via the UCP mediator, the request to communicate with the first video conferencing platform from the second video conferencing platform. The embodiment establishes a connection between the first video conferencing platform and the second video conferencing platform.

Abstract: A system and method for securing an application through an application-aware runtime agent can include: acquiring a code profile, instrumenting the application with a runtime agent according to the code profile, enforcing the runtime agent on the execution of the application, and responding to the runtime agent. Enforcing the runtime agent on the execution of the application can include monitoring the execution flow, which comprises of monitoring the utilization of the controls through the execution of the application; detecting a threat, which comprises identifying a section of the execution flow as a potential security threat; and regulating the execution flow to prevent or ameliorate the security threat. Responding to the runtime agent can include responding to the security threat and providing a user interface that may output runtime agent diagnostics and trigger alerts.

Abstract: Various aspects of a system and method for driving assistance along a path are disclosed herein. In accordance with an embodiment, a unique identifier is received from a communication device at an electronic control unit (ECU) of a first vehicle. The unique identifier is received when the first vehicle has reached a first location along a first portion of the path. A communication channel is established between the first vehicle and the communication device based on the received unique identifier. Data associated with a second portion of the path is received by the ECU from the communication device based on the established communication channel. Alert information associated with the second portion of the path is generated by the ECU based on the received data.

Abstract: Methods and apparatuses are described for automatic intelligent query suggestion for information retrieval applications. A server a) determines candidate intents associated with user input text received from a remote device, including applying a trained intent classification model to the user input text to predict candidate intents. The server b) calculates a likelihood value for each of the candidate intents. The server c) compiles a list of suggested queries based upon the candidate intents and associated likelihood values. The server d) identifies a subset of the list of suggested queries for display on the remote device. Upon detecting an update to the user input text at the remote device, the server repeats steps a) to d) using the updated user input text, or upon detecting a selection of one of the suggested queries at the remote device, the server retrieves content responsive to the selected query.

Abstract: An optical cavity includes a cell having at least one structure with a first end and a second end, a first end-cap configured to removably receive a first mirror, and a second end-cap configured to removably receive a second mirror. The first end-cap is attached to the structure at the first end and has an opening with a center axis. The second end-cap is attached to the structure at the second end and has an opening with a center axis that is axially aligned with the center axis of the first end-cap. The cell can be a closed cell, wherein the structure is a tube axially aligned with the center axis. The cell can be an open cell, wherein the structure is a tube that includes one or more openings through its wall. The cell can be an open cell, wherein the structure includes one or more rods, each off axis from the center axis.

Abstract: This disclosure describes a query gateway system that provides an efficient and flexible framework for providing context-retained autosuggest queries from an autosuggest query system (e.g., a search engine query experience) to a generative language model system (e.g., an AI chat experience). For instance, the query gateway system establishes a framework to leverage the features and services of the autosuggest query system and automatically provides context-retained queries to the generative language model system using separate user interfaces that do not disrupt user navigation or require manual duplicative user input. Additionally, the query gateway system incorporates additional enhancements, including an AI chat eligibility model and a query reformulation model, to improve the computational efficiency and accuracy of the AI chat system.

Abstract: A cell for an optical cavity includes a tube with a first open-end and a second open-end, a first end-cap, and a second end-cap. The first end-cap is fixedly attached to the tube at the first open-end and has an opening with a center axis. The second end-cap is fixedly attached to the tube at the second open-end and has an opening with a center axis that is axially aligned with the center axis of the first end-cap.

Abstract: A method and related apparatus adaptively control snapshot replication of a plurality of server snapshots in a multi-tenant public cloud using snapshot service. A plurality of snapshot requests are received from a plurality of clients in the multi-tenant public cloud and are each associated with a service level agreement (SLA). The SLA includes a corresponding completion deadline and a slippage penalty. A probabilistic model calculates, for active snapshot flows, a completion time for each of the snapshot requests. If any of the predicted completion times exceed their corresponding completion deadlines, a possible MISS event is produced for an associated first snapshot. The snapshot controller component, in response to producing the possible MISS event, minimizes a probability of breaching fulfilment times for the multi-tenant cloud. The slippage penalty is calculated for each of the plurality of snapshot requests. A second snapshot is identified from among the plurality of snapshot requests.

Abstract: Disclosed are various embodiments for leveraging deep learning-based recurrent neural networks (RNNs) using time-series data to evaluate fraud risk for an incoming transaction associated with a user account. Time-series attributes can be extracted from historical transaction data and the incoming transaction data. The time-series attributes can be defined as an array of sequential events that are inputted into an RNN-based machine-learning framework to predict whether an incoming or otherwise pending transaction is fraudulent given the spending sequence. An RNN-based time-series prediction model can be trained to understand and predict patterns associated with a user's spending history according to the inputted time-series data in order to predict whether the transaction is fraudulent.

Abstract: A system and method for application security profiling that includes extracting a code property graph from at least a subset of a code base; generating a code profile from the code property graph, wherein generating the code profile occurs prior to a compilation of the code base; and applying the code profile, comprising of identifying sections of interest within the code base.

Abstract: Techniques for failure prediction and remediation are disclosed. For example, a method comprises training one or more machine learning algorithms with a training dataset corresponding to a plurality of users, wherein the training dataset comprises at least one of product purchase data, product service data and product return data corresponding to the plurality of users. In the method, an input dataset corresponding to at least one user is received. The input dataset comprises at least one of product purchase data, product service data and product return data corresponding to the user. The input dataset is analyzed using the one or more machine learning algorithms. The method further comprises predicting, based at least in part on the analyzing, a likelihood of whether at least one product corresponding to the user will fail to be returned to a product providing entity when a return of the product has been requested.

Abstract: Methods, apparatus, and processor-readable storage media for automated resource prioritization using artificial intelligence techniques are provided herein.

Abstract: A method for core remanufacturing evaluation. The method may include acquiring available core data for a selected core from a plurality of cores; analyzing the available core data related to the selected core to assess an internal condition of the selected core and identify faults; identifying, based on the internal condition and the identified faults, part and processes needed to remanufacture the core; deriving metrics for part and processes needed to remanufacture the core; computing, from the derived metrics, a utility measure representing an estimate of potential value generated or potential impact generated if the core is remanufactured; determining a remanufacturing priority based on the computed utility measure; and performing remanufacturing of the selected core based on the determined remanufacturing priority.

Abstract: Methods, apparatus, and processor-readable storage media for determining health-related information of returned inventory using artificial intelligence techniques are provided herein. An example computer-implemented method includes determining current state-related information pertaining to at least one returned inventory item; determining health-related information of the at least one returned inventory item by processing, using one or more artificial intelligence techniques, at least a portion of the current state-related information and historical inventory-related data associated with one or more additional inventory items; and performing one or more automated actions in connection with the at least one returned inventory item based at least in part on at least a portion of the determined health-related information.