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 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.

Abstract: Aspects of the present disclosure relate to providing, based on a partial query string, a plurality of autosuggestions that are diverse in nature such that the user is more likely to see the preferred complete query terms and therefore more likely to select one of the preferred suggestions which will increase search efficiency. As described herein, such functionality relates to generating cluster groups of candidate suggestions, each cluster including sub-topics, then performing the search based on a selected cluster or sub-topic. To generate the cluster groups, systems and methods, as described herein, analyze the similarity between candidate suggestions as well as the popularity of generated sub-topics. The cluster groups and sub-topics may be displayed visually, and in certain embodiments the cluster groups are ordered vertically from top to bottom and aligned to the left side of the display, while sub-topics are ordered horizontally from left to right following the cluster label.

Abstract: A system may include a database disposed within a remote network management platform, a server device disposed in the platform, and a client device. The database may contain representations of configuration items, such as computing devices and software applications associated with the managed network. The server device may provide a graphical user interface including a sequence of panes to the client device. The sequence of panes may include an identifier pane, an identification rules pane, and a reconciliation pane. Each pane may include data entry fields that are operable to define a new class of configuration item. The server device may receive, by way of the graphical user interface, a definition of the new class that uniquely identifies configuration items of a particular type using at least the attributes. The server may store, in the database, the definition of the new class.

Abstract: Various examples are directed to systems and methods for managing multiple cloud-delivered services. An integration adapter may receive, from a first cloud-delivered service, event data describing an event at the first cloud-delivered service. The integration adapter may send a request for data objects for responding to the event to a determination engine executing at the data distribution computing system. The determination engine may determine a first data object and a second data object responsive to the request for data objects. The integration adapter may replicate the first data object from a database management system to generate a first replicated data object and replicate the second data object from a second cloud-delivered service to generate a second replicated data object. The integration adapter may send the first replicated data object and the second replicated data object to a target cloud-delivered service.

Abstract: Methods and systems for assessing and/or treating visual disorders, such as discorder in accommodative ability and/or vergence ability, of a person are provided. Assessment and training exercises can be performed utilizing a computerized system in communication with a head-mountable display (HMD), such as a virtual or augmented reality display, which can display visual targets at various vergence and accommodative demands. Lenses, such as inverted bifocal lenses, may be used in combination with the HMD to mimic natural accommodative demand during viewing or to enable assessment and treatment of accommodation disorders. Corrective factors can be calculated and utilized for generation of visual targets to account for lens characteristics and/or interpupillary distance mismatch.

Abstract: Systems and methods for assessing vision and correcting vision problems are provided. A head-mountable virtual reality display controlled via a computing device can be worn by a user to display virtual reality images to the user. The images can be displayed as part of an interactive and engaging activity that can be used to determine a value of a certain parameter of the user's eyes. The activity can also be intended as a treatment procedure during which user's eyes are trained to perceive objects having certain properties that unassisted eyes of the user are normally not able to perceive. User input is acquired to determine user's perception of the displayed virtual reality images. The computing device can be a smartphone configured to perform the vision tests or treatment under control of a remote computing device operated by a trained clinician.

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.

Abstract: The present invention generally relates to a water purification device designed to operate primarily on gravitational force. The device comprises an inlet chamber (102) for storing surface water; and a filtration chamber (104) placed beneath the inlet chamber housing: a first filter made up of a 1:3 mixture of zeolite and acid-fractionalized activated charcoal, supported on a cotton bed; a second filter (104B) consisting of powdered eggshell membrane mixed with zeolite and Fe3O4 nanoparticles in a 5:3:1 ratio; and a third filter (104C) composed of a mixture of eggshell membrane powder, zeolite, Fe3O4, and AgNO3 nanoparticles, all supported on a cotton bed in a 5:3:1:1 ratio; and an outlet (106) adjusted at a bottom section for collecting purified water. The surface water enters from a top of the filtration chamber and is subjected to gravitational force, leading it through the series of filters towards the outlet.

Abstract: Techniques for EVPN Host Routed Bridging (HRB) and EVPN cloud-native data center with Host Routed Bridging (HRB) are described. A host computing device of a data center includes one or more containerized user-level applications. A cloud native virtual router is configured for dynamic deployment by the data center application orchestration engine and operable in a user space of the host computing device. Processing circuitry is configured for execution of the containerized user-level applications and the cloud native virtual router. The cloud native virtual router comprises a containerized routing protocol process configured to operate as a control plane, and a data plane for the containerized router. The data plane is configured to operate an ethernet virtual private network (EVPN) encapsulation/decapsulation data path of an overlay network for communicating layer two (L2) network traffic of the containerized user applications over a switch fabric of the data center.

Abstract: The present invention provides combination therapy to reduce or prevent progression of a tumor or treating cancer in a subject. The combination therapy comprises administration of a binding agent that binds to human CD137 and to human PD-L1; and a taxane chemotherapeutic agent.

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 system and method of automated driver selection is disclosed. A plurality of driver profiles and a first order are received. Each of the driver profiles includes at least one driver parameter. The first order includes at least one order parameter. A driver score is calculated for each of the plurality of driver profiles for the first order. The driver score is calculated based on the at least one driver parameter and the at least one order parameter. Each driver profile is ranked based on the calculated driver score and a first delivery assignment request is transmitted to a system associated with a first-ranked driver profile. A response is received to the first delivery assignment request.