Abstract: The technology relates to machine responses to anomalies detected using machine learning based anomaly detection. In particular, to receiving evaluations of production events, prepared using activity models constructed on per-tenant and per-user basis using an online streaming machine learner that transforms an unsupervised learning problem into a supervised learning problem by fixing a target label and learning a regressor without a constant or intercept. Further, to responding to detected anomalies in near real-time streams of security-related events of tenants, the anomalies detected by transforming the events in categorized features and requiring a loss function analyzer to correlate, essentially through an origin, the categorized features with a target feature artificially labeled as a constant.

Abstract: An illustrative method includes a container storage system detecting an event that occurs within a container system comprising a plurality of nodes; determining that the event has a potential to impact, by more than a threshold amount, performance of a first virtual network interface used by the nodes; and transmitting, based on the determining that the event has the potential to impact the performance of the first virtual network interface by more than the threshold amount, a request to a network provider system for the network provider system to provide a second virtual network interface for use by one or more of the nodes.

Abstract: An illustrative method includes a container storage system detecting an event that occurs within a container system comprising a plurality of nodes; determining that the event has a potential to impact, by more than a threshold amount, performance of a first virtual network interface used by the nodes; and transmitting, based on the determining that the event has the potential to impact the performance of the first virtual network interface by more than the threshold amount, a request to a network provider system for the network provider system to provide a second virtual network interface for use by one or more of the nodes.

Abstract: An example embodiment includes determining, from a set of entries stored in a memory, a set of performed actions; identifying clusters of similar actions within the set of performed actions based on multidimensional vector embeddings of the performed actions, wherein each of the performed actions is a member of one of the clusters, and wherein each of the clusters contains at least one of the performed actions; determining a sequence for the clusters based on orderings of the performed actions within the set of entries and the membership of the performed actions within the clusters; and providing for display, on a user interface, representations of the performed actions within the clusters, wherein the representations of the performed actions are ordered according to the determined sequence for the clusters.

Abstract: The technology disclosed relates to a proxy receiving a request to manipulate a data object on an independent object store. The proxy is interposed between a user system from which the request originates and the independent object store. The technology disclosed further relates to the proxy accessing a metadata store that contains object metadata for the data object and retrieving the object metadata. The technology disclosed further relates to the proxy enforcing a policy on the request based on the object metadata. Enforcing the policy further includes enforcing malware detection policies and threat detection policies.

Abstract: The present invention relates to a method of treating allergic rhinitis in a subject (e.g., a pediatric human subject) in need thereof comprising nasally administering to the subject an effective amount of a fixed-dose pharmaceutical composition comprising mometasone or its salt and olopatadine or its salt.

Abstract: The technology disclosed relates to a proxy receiving a request to manipulate a data object on an independent object store. The proxy is interposed between a user system from which the request originates and the independent object store. The technology disclosed further relates to the proxy accessing a metadata store that contains object metadata for the data object and retrieving the object metadata. The technology disclosed further relates to the proxy enforcing a policy on the request based on the object metadata. Enforcing the policy further includes enforcing malware detection policies and threat detection policies.

Abstract: A switch includes memory including a flow table. The flow table includes a flow key database and a flow policy database for flows in a network associated with the switch. The switch includes a security processor including an exact match engine. The exact match engine manages the flow table in the memory. The exact match engine includes a learn cache configured to store key entries for storage in the flow key database.

Abstract: The present invention relates to a method of treating allergic rhinitis in a subject (e.g., a pediatric human subject) in need thereof comprising nasally administering to the subject an effective amount of a fixed-dose pharmaceutical composition comprising mometasone or its salt and olopatadine or its salt.

Abstract: The technology relates to machine responses to anomalies detected using machine learning based anomaly detection. In particular, to receiving evaluations of production events, prepared using activity models constructed on per-tenant and per-user basis using an online streaming machine learner that transforms an unsupervised learning problem into a supervised learning problem by fixing a target label and learning a regressor without a constant or intercept. Further, to responding to detected anomalies in near real-time streams of security-related events of tenants, the anomalies detected by transforming the events in categorized features and requiring a loss function analyzer to correlate, essentially through an origin, the categorized features with a target feature artificially labeled as a constant.

Abstract: A nasal dispensing device and pharmaceutical composition includes a container; a dispenser head having at least a pump, a dispensing channel, and a dispensing orifice; a dip tube; and a pharmaceutical composition comprising mometasone, an ester thereof (e.g., mometasone furoate), or a salt thereof and olopatadine or its salt (e.g., olopatadine hydrochloride). The container can have a conically shaped internal bottom, angled downwardly toward a center, and a further angularly deepened well, centrally located, with the dip tube extending into the well. An optional cap is provided that includes a sealing sleeve communicating in a seal tight manner with a perimeter of a lateral wall of the dispenser head.

Abstract: The technology relates to machine responses to anomalies detected using machine learning based anomaly detection. In particular, to receiving evaluations of production events, prepared using activity models constructed on per-tenant and per-user basis using an online streaming machine learner that transforms an unsupervised learning problem into a supervised learning problem by fixing a target label and learning a regressor without a constant or intercept. Further, to responding to detected anomalies in near real-time streams of security-related events of tenants, the anomalies detected by transforming the events in categorized features and requiring a loss function analyzer to correlate, essentially through an origin, the categorized features with a target feature artificially labeled as a constant.

Abstract: A switch includes memory including a flow table. The flow table includes a flow key database and a flow policy database for flows in a network associated with the switch. The switch includes a security processor including an exact match engine. The exact match engine manages the flow table in the memory. The exact match engine includes a learn cache configured to store key entries for storage in the flow key database.

Abstract: A nasal dispensing device and pharmaceutical composition includes a container; a dispenser head having at least a pump, a dispensing channel, and a dispensing orifice; a dip tube; and a pharmaceutical composition comprising mometasone, an ester thereof (e.g., mometasone furoate), or a salt thereof and olopatadine or its salt (e.g., olopatadine hydrochloride). The container can have a conically shaped internal bottom, angled downwardly toward a center, and a further angularly deepened well, centrally located, with the dip tube extending into the well. An optional cap is provided that includes a sealing sleeve communicating in a seal tight manner with a perimeter of a lateral wall of the dispenser head.

Abstract: Client instance data including a plurality of incidents and a plurality of knowledge elements comprising information relating to resolving one or more of the plurality of incidents is obtained. A validation set is built based on the obtained client instance data, the validation set including fingerprint data of plural fingerprints of known incident-knowledge relationships, each of fingerprint representing a link between one of the incidents and one of the knowledge elements used for resolving the incident. A knowledge element class is predicted from among plural knowledge element classes for each of knowledge element based on the built validation set, the plural knowledge element classes being defined based on respective threshold values indicating a quality of coverage provided by a knowledge element for resolving an incident. Classification data of the plural knowledge elements classified into the plural knowledge element classes is presented with the obtained client instance data.

Abstract: The present invention relates to a method of treating allergic rhinitis in a subject (e.g., a pediatric human subject) in need thereof comprising nasally administering to the subject an effective amount of a fixed-dose pharmaceutical composition comprising mometasone or its salt and olopatadine or its salt.

Abstract: An example embodiment includes determining, from a target set of incident reports, a set of putative steps; determining a set of playbook steps by identifying a set of clusters within the set of putative steps, wherein each playbook step of the set of playbook steps corresponds to a respective cluster within the identified set of clusters, and wherein each cluster within the identified set of clusters contains at least one putative step of the set of putative steps; determining a sequence for the set of playbook steps based on an ordering of the putative steps within the target set of incident reports and the correspondences between the putative steps and the identified set of clusters; and displaying, on a user interface, an indication of the set of playbook steps according to the determined sequence for the set of playbook steps.

Abstract: The present invention relates to a method of treating allergic rhinitis in a subject (e.g., a pediatric human subject) in need thereof comprising nasally administering to the subject an effective amount of a fixed-dose pharmaceutical composition comprising mometasone or its salt and olopatadine or its salt.

Abstract: Methods and systems are described that improve simulations which use thermal models to test dynamic thermal mitigation of devices, such as smartphones. These methods and systems can use a thermal Reduced Order Model (ROM) that is trained through machine learning to provide efficient systems that can significantly reduce the time and computational resources required to build a simulation of a device's thermal behavior. The thermal model can be used in different usage scenarios with different power management and thermal management controls to test the device's thermal behavior.

Abstract: Machine assisted system and method for performing dynamic thermal management (DTM) analysis are described. In one embodiment, the method can include receiving a power profile associated with IP blocks in an integrated circuit (IC) system modeled by a Krylov reduced order model (ROM). The power profile can represent power consumption of each of the blocks based on a predefined operating scenario. The method can additionally include evaluating the temperature of each of the blocks of the IC system for the current time step based on the power profile and the Krylov ROM. The method can further include calculating new power values based on the current temperature field of each of the blocks of the IC system, wherein the power profile can be updated with the new power value for the temperature of each of the blocks of the IC system for the next time step.