Abstract: Techniques for enhancing actionable opportunities through machine learning are disclosed. In some embodiments, a system includes an event listener for detecting an opportunity to perform an action using one or more computing resources. When a new opportunity is detected, the system generates a set of search criteria, which is used to search a set of external web resources for current events. The system may then generate, using a machine learning model as a function of one or more features extracted from current events satisfying the search criteria, a score representing a likelihood of success that the action leads to an optimal result. The system may tune the machine learning model based on feedback received that is indicative of how the current events affected the likelihood of success for the action.

Abstract: A computing system is provided, including a processor and memory storing instructions that cause the processor to execute a domain name service (DNS) log analyzer configured to identify a container identifier associated with a DNS request and a destination IP address associated with a DNS response to the DNS request, using one or more DNS logs, a fleet management system record analyzer configured to identify a first service associated with the container identifier and a second service associated with the destination IP address, using one or more fleet management system logs, and a dependency map generator configured to generate a service-to-service dependency map between the identified first service and the identified second service.

Abstract: Symmetric networking techniques disclosed herein can be applied by gateway routers in cloud networks. The techniques can ensure that both outbound traffic received at a cloud from a branch device and return traffic directed from the cloud back to the branch device are processed by a same gateway router. The gateway router can use network address translation to insert IP addresses from an inside pool and an outside pool assigned to the router.

Abstract: A system and a method for determining semantic points in a human-to-human conversation is provided. The method includes identifying the human-to-human conversation including a plurality of dialogue turns and determining natural language (NL) attributes form each dialogue turn. Further, the method includes deriving a transient state, based on the one or more NL attributes. Further, the method includes deriving one or more conversation nuances associated with the human-to-human conversation based on the one or more NL attributes. Moreover, the method includes dynamically storing information associated with the human-to-human conversation based on the one or more NL attributes, the transient state, and the one or more conversation nuances associated with each dialogue turn and determining one or more semantic relations and associated dialogue timelines within the human-to-human conversation based on the dynamically stored information.

Abstract: Systems and methods include responsive to a user initiating a session with a resource, determining a master fingerprint of a device associated with the user; collecting, at predefined time intervals, one or more additional fingerprints during the session; comparing the one or more additional fingerprints with the master fingerprint; and performing one or more actions based on the comparing.

Abstract: Methods, systems, and apparatuses include allocating a temporary parity buffer to a parity group. A write command is received that includes user data and is directed to a portion of memory included in a zone which is included in the parity group. A memory identifier is determined for the portion of memory. Parity group data is received from the temporary parity buffer using the memory identifier. Updated parity group data is determined using the parity group data and the user data. The updated parity group data is sent to the temporary parity buffer.

Abstract: A method and system are provided to infer and use machine learning algorithms that is applied to financial data and also to determine: (i) compliance with the applied algorithms, and (ii) whether any exceptions to and/or variations from the algorithms are within an organization's norms. A method includes: receiving financial data; applying a set of dynamic or interdependent algorithms to the received financial data to obtain a set of outcomes; and using a machine learning classifier to classify the outcomes as: (i) algorithm compliant, (ii) potentially algorithm non-compliant, or (iii) algorithm non-compliant. Additionally, the method includes generating controllership persona based actionable triggers, which on acceptance corrects the anomalies in financial data, enabling the method and system to perform as a comprehensive, contextual, consistent & machine learning powered, persona based real time controllership engine leading to reduced misstatements in reported financial data.

Abstract: An apparatus, method, and computer program product are provided for the improved and automatic prediction and modeling of one or more channels and relevant conditions through which resources may be directed to users in an environment where resource demand, utility, and perceived value vary over time. Some example implementations employ predictive, machine-learning modeling to facilitate the use of multiple disparate and unrelated data sets to extrapolate and otherwise predict the future needs for certain resources and identify the channels and conditions that may be employed to meet such future needs. An apparatus, method, system, and computer program product are provided for improved generating, adjusting, and/or facilitating approval of a resource offer set. Some example implementations employ one or more predictive models.

Abstract: A method for generating a content feed includes receiving, from a content provider, a target content item and a policy for the target content item, specifying a prohibited classification of the content that cannot be published adjacent to the target content item. The method also includes identifying a slot in a content feed including multiple content items. A machine learning model is then accessed and applied to two adjacent content items that are adjacent to the slot to determine whether each of the adjacent content items is the prohibited classification. Responsive to determining that the adjacent content items are not the prohibited classification, the target content item is placed in the slot, and the content feed including the target content item is sent for display to a viewing user.

Abstract: Described examples include an apparatus includes a dichroic wedge and a spatial light modulator optically coupled to the dichroic wedge. The apparatus also includes a display optically coupled to the spatial light modulator. The display includes a waveguide having a first side and a second side and a first diffractive optical element on the first side of the waveguide. The display also includes a second diffractive optical element on the first side of the waveguide and a third diffractive optical element on the second side of the waveguide.

Abstract: Methods and systems are provided for reducing contactor freezing. In one example, a system may include a contactor comprising a set of conductors and a phase change material. The phase change material is coupled to a first conductor of the set of conductors and is not positioned between the set of conductors.

Abstract: Methods and apparatus to operate closed-lid portable computers are disclosed. An example portable computer includes a first display on a lid of the portable computer, the first display to be deactivated when the lid is in a closed position; a second display distinct from the first display, the second display to be visible when the lid is in the closed position; instructions; and processor circuitry to execute the instructions to cause activation of the first display in response to a user interaction with the second display while the lid is in the closed position.

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method for optimizing power in a user equipment (UE) is provided. The method includes receiving, from a network, one or more relaxed measurement parameters, determining one of a mobility state or a location of the UE with respect to an edge of a serving cell of a visited public land mobile network (VPLMN) of the network based on one or more relaxed measurement parameters, and deferring a background PLMN (BPLMN) search upon determining one of the UE being in a low mobility state or not being at the edge of the serving cell, and/or deferring a near cell measurement search during a measurement gap of a connected mode discontinuous reception (CDRX) sleep duration of a CDRX state to optimize the power consumption in the UE upon determining one of the UE being in the low mobility state or not being located at the edge of the serving cell.

Abstract: A system includes a memory that stores instructions and receives a circuit netlist, and includes a processing unit that accesses the memory and executes the instructions. The instructions include an EDA application that includes a test-point flop allocation module that is configured to evaluate the circuit netlist to determine compatibility of the test-point nodes in the circuit netlist. The test-point flop allocation module can further allocate each of the test-point flops to a test-point sharing group comprising a plurality of compatible test-point nodes. The EDA application also includes a circuit layout module configured to generate a circuit layout associated with the circuit design, the circuit layout comprising the functional logic and scan-chains comprising the test-point flops allocated to the test-point sharing groups in response to the circuit netlist. The circuit layout is employable to fabricate an integrated circuit (IC) chip.

Abstract: This disclosure relates generally to the field of Electroencephalogram (EEG) classification, and, more particularly, to method and system for EEG motor imagery classification. Existing deep learning works employ the sensor-space for EEG graph representations wherein the channels of the EEG are considered as nodes and connection between the nodes are either predefined or are based on certain heuristics. However, these representations are ineffective and fail to accurately capture the underlying brain's functional networks. Embodiments of present disclosure provide a method of training a weighted adjacency matrix and a Graph Neural Network (GNN) to accurately represent the EEG signals. The method also trains a graph, a node, and an edge classifier to perform graph classification (i.e. motor imagery classification), node and edge classification. Thus, representations generated by the GNN can be additionally used for node and edge classification unlike state of the art methods.

Abstract: A method of troubleshooting an application includes receiving, from an analytics engine, data representing a performance metric of the application and a tenant identifier associated with the application; sending, to the analytics service, a request to receive at least one user identifier associated with the tenant identifier; receiving, from the analytics service, at least one user identifier; selecting, from a database, a message based at least in part on the performance metric of the application; and sending the message to the application associated with the at least one user identifier.

Abstract: This disclosure describes techniques and mechanisms for improving security within SDWAN fabric and utilizing telemetry data from non-enterprise providers to remediate compromised SDWAN site(s) and/or user(s). The techniques may implement an integration of non-enterprise application(s) and API(s) with an enterprise network, thereby enabling the enterprise network to identify compromised endpoint(s), identify user(s), group(s), site(s) that are impacted, and take a corrective action (by the enterprise network and/or the non-enterprise application(s) or API(s)) on the enterprise fabric.

Abstract: The present application relates to apparatus, systems, and methods to provide a service based interface in wireless communication systems.

Abstract: A system and method for transferring items in a storage facility are provided. The storage facility includes a storage system that includes bins, a control server, and a sensing system. A pick-put operation on an inventory item is performed by picking the inventory item from a robotic apparatus by an operator and storing the inventory item in a corresponding bin of the storage system. The control server receives sensor signals when the sensing system automatically senses a pick-up of the inventory item from the robotic apparatus and placement of the inventory item in the corresponding bin of the storage system. The reception of the sensor signals by the control server indicates execution of the pick-put operation. Thus, a need for the operator to manually scan the inventory item during the pick-up or press any buttons on the storage system to indicate completion of the pick-put operation is eliminated.

Abstract: Disclosed herein is an armature for a fuel injector. The fuel injector can have a longitudinal axis extending centrally therethrough. The armature can be configured to be positioned adjacent a gap in the fuel injector and configured to move along the longitudinal axis between first and second positions. In this regard, the armature can move in a proximal direction as the armature moves from the first position to the second position. Under these circumstances, fuel is forced out of the gap. The armature can move in the distal direction as the armature moves from the second position to the first position. Under these circumstances, fuel can be drawn into the gap. The armature can include a hydraulic separation feature configured to improve hydraulic separation of the armature such that a travel time between the first and second positions are reduced as the armature comes to rest.